Overview

Dataset statistics

Number of variables29
Number of observations131
Missing cells140
Missing cells (%)3.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory29.8 KiB
Average record size in memory233.0 B

Variable types

Numeric9
Categorical20

Alerts

airdate has constant value "2020-12-04" Constant
_embedded_show_dvdCountry has constant value "nan" Constant
url has a high cardinality: 131 distinct values High cardinality
name has a high cardinality: 119 distinct values High cardinality
image has a high cardinality: 77 distinct values High cardinality
summary has a high cardinality: 55 distinct values High cardinality
_embedded_show_url has a high cardinality: 66 distinct values High cardinality
_embedded_show_name has a high cardinality: 66 distinct values High cardinality
_embedded_show_officialSite has a high cardinality: 63 distinct values High cardinality
_embedded_show_summary has a high cardinality: 59 distinct values High cardinality
_links_self_href has a high cardinality: 131 distinct values High cardinality
runtime is highly correlated with _embedded_show_runtime and 1 other fieldsHigh correlation
_embedded_show_runtime is highly correlated with runtime and 1 other fieldsHigh correlation
_embedded_show_averageRuntime is highly correlated with runtime and 1 other fieldsHigh correlation
season is highly correlated with number and 3 other fieldsHigh correlation
number is highly correlated with seasonHigh correlation
runtime is highly correlated with season and 2 other fieldsHigh correlation
_embedded_show_runtime is highly correlated with season and 2 other fieldsHigh correlation
_embedded_show_averageRuntime is highly correlated with season and 2 other fieldsHigh correlation
runtime is highly correlated with _embedded_show_runtime and 1 other fieldsHigh correlation
_embedded_show_runtime is highly correlated with runtime and 1 other fieldsHigh correlation
_embedded_show_averageRuntime is highly correlated with runtime and 1 other fieldsHigh correlation
_embedded_show_officialSite is highly correlated with _embedded_show_ended and 14 other fieldsHigh correlation
_embedded_show_ended is highly correlated with _embedded_show_officialSite and 11 other fieldsHigh correlation
_embedded_show_name is highly correlated with _embedded_show_officialSite and 14 other fieldsHigh correlation
summary is highly correlated with airdate and 2 other fieldsHigh correlation
_embedded_show_summary is highly correlated with _embedded_show_officialSite and 14 other fieldsHigh correlation
_embedded_show_genres is highly correlated with _embedded_show_officialSite and 11 other fieldsHigh correlation
type is highly correlated with _embedded_show_officialSite and 8 other fieldsHigh correlation
_embedded_show_type is highly correlated with _embedded_show_officialSite and 9 other fieldsHigh correlation
airdate is highly correlated with _embedded_show_officialSite and 15 other fieldsHigh correlation
airtime is highly correlated with _embedded_show_officialSite and 11 other fieldsHigh correlation
_embedded_show_status is highly correlated with _embedded_show_officialSite and 9 other fieldsHigh correlation
_embedded_show_premiered is highly correlated with _embedded_show_officialSite and 13 other fieldsHigh correlation
image is highly correlated with _embedded_show_officialSite and 15 other fieldsHigh correlation
_embedded_show_url is highly correlated with _embedded_show_officialSite and 14 other fieldsHigh correlation
_embedded_show_language is highly correlated with _embedded_show_officialSite and 11 other fieldsHigh correlation
_embedded_show_dvdCountry is highly correlated with _embedded_show_officialSite and 15 other fieldsHigh correlation
airstamp is highly correlated with _embedded_show_officialSite and 11 other fieldsHigh correlation
id is highly correlated with number and 14 other fieldsHigh correlation
season is highly correlated with number and 12 other fieldsHigh correlation
number is highly correlated with id and 15 other fieldsHigh correlation
type is highly correlated with image and 7 other fieldsHigh correlation
airtime is highly correlated with season and 16 other fieldsHigh correlation
airstamp is highly correlated with id and 17 other fieldsHigh correlation
runtime is highly correlated with season and 17 other fieldsHigh correlation
image is highly correlated with id and 22 other fieldsHigh correlation
summary is highly correlated with type and 2 other fieldsHigh correlation
_embedded_show_id is highly correlated with id and 20 other fieldsHigh correlation
_embedded_show_url is highly correlated with id and 21 other fieldsHigh correlation
_embedded_show_name is highly correlated with id and 21 other fieldsHigh correlation
_embedded_show_type is highly correlated with id and 19 other fieldsHigh correlation
_embedded_show_language is highly correlated with id and 19 other fieldsHigh correlation
_embedded_show_genres is highly correlated with id and 19 other fieldsHigh correlation
_embedded_show_status is highly correlated with id and 14 other fieldsHigh correlation
_embedded_show_runtime is highly correlated with season and 15 other fieldsHigh correlation
_embedded_show_averageRuntime is highly correlated with season and 15 other fieldsHigh correlation
_embedded_show_premiered is highly correlated with id and 21 other fieldsHigh correlation
_embedded_show_ended is highly correlated with airtime and 13 other fieldsHigh correlation
_embedded_show_officialSite is highly correlated with id and 21 other fieldsHigh correlation
_embedded_show_weight is highly correlated with id and 15 other fieldsHigh correlation
_embedded_show_summary is highly correlated with id and 21 other fieldsHigh correlation
_embedded_show_updated is highly correlated with id and 14 other fieldsHigh correlation
number has 4 (3.1%) missing values Missing
runtime has 6 (4.6%) missing values Missing
image has 54 (41.2%) missing values Missing
_embedded_show_runtime has 72 (55.0%) missing values Missing
_embedded_show_averageRuntime has 4 (3.1%) missing values Missing
url is uniformly distributed Uniform
name is uniformly distributed Uniform
image is uniformly distributed Uniform
_links_self_href is uniformly distributed Uniform
id has unique values Unique
url has unique values Unique
_links_self_href has unique values Unique

Reproduction

Analysis started2022-05-10 02:01:08.982421
Analysis finished2022-05-10 02:01:53.367723
Duration44.39 seconds
Software versionpandas-profiling v3.2.0
Download configurationconfig.json

Variables

id
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct131
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1988869.237
Minimum1910446
Maximum2246078
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2022-05-09T21:01:53.613328image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1910446
5-th percentile1922476
Q11969719.5
median1977312
Q31983274.5
95-th percentile2125975.5
Maximum2246078
Range335632
Interquartile range (IQR)13555

Descriptive statistics

Standard deviation61515.94577
Coefficient of variation (CV)0.03093011076
Kurtosis9.281859095
Mean1988869.237
Median Absolute Deviation (MAD)6278
Skewness2.98532003
Sum260541870
Variance3784211584
MonotonicityNot monotonic
2022-05-09T21:01:53.989312image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19840161
 
0.8%
19645701
 
0.8%
19792441
 
0.8%
19792431
 
0.8%
19792421
 
0.8%
19792411
 
0.8%
19792401
 
0.8%
19313301
 
0.8%
19400381
 
0.8%
19400421
 
0.8%
Other values (121)121
92.4%
ValueCountFrequency (%)
19104461
0.8%
19200591
0.8%
19200601
0.8%
19200611
0.8%
19200621
0.8%
19200631
0.8%
19200641
0.8%
19248881
0.8%
19313301
0.8%
19400381
0.8%
ValueCountFrequency (%)
22460781
0.8%
22369721
0.8%
22369711
0.8%
22369701
0.8%
22369691
0.8%
21761211
0.8%
21327081
0.8%
21192431
0.8%
20833321
0.8%
20821721
0.8%

url
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct131
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
https://www.tvmaze.com/episodes/1984016/roast-battle-labelcom-1x14-14-anton-sastun
 
1
https://www.tvmaze.com/episodes/1964570/qin-xia-1x09-episode-9
 
1
https://www.tvmaze.com/episodes/1979244/stillwater-1x06-the-haircut-paper-wings
 
1
https://www.tvmaze.com/episodes/1979243/stillwater-1x05-the-race-dressed-up
 
1
https://www.tvmaze.com/episodes/1979242/stillwater-1x04-downward-dog-the-sleeping-moon
 
1
Other values (126)
126 

Length

Max length130
Median length95
Mean length77.15267176
Min length58

Characters and Unicode

Total characters10107
Distinct characters40
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique131 ?
Unique (%)100.0%

Sample

1st rowhttps://www.tvmaze.com/episodes/1984016/roast-battle-labelcom-1x14-14-anton-sastun
2nd rowhttps://www.tvmaze.com/episodes/1961003/cuma-2x06-seria-12
3rd rowhttps://www.tvmaze.com/episodes/1976570/zakon-i-besporyadok-1x03-seria-3
4th rowhttps://www.tvmaze.com/episodes/1976571/zakon-i-besporyadok-1x04-seria-4
5th rowhttps://www.tvmaze.com/episodes/1979225/kotiki-1x05-seria-5

Common Values

ValueCountFrequency (%)
https://www.tvmaze.com/episodes/1984016/roast-battle-labelcom-1x14-14-anton-sastun1
 
0.8%
https://www.tvmaze.com/episodes/1964570/qin-xia-1x09-episode-91
 
0.8%
https://www.tvmaze.com/episodes/1979244/stillwater-1x06-the-haircut-paper-wings1
 
0.8%
https://www.tvmaze.com/episodes/1979243/stillwater-1x05-the-race-dressed-up1
 
0.8%
https://www.tvmaze.com/episodes/1979242/stillwater-1x04-downward-dog-the-sleeping-moon1
 
0.8%
https://www.tvmaze.com/episodes/1979241/stillwater-1x03-soaked-a-perfect-fit1
 
0.8%
https://www.tvmaze.com/episodes/1979240/stillwater-1x02-gift-of-compassion-larger-than-life1
 
0.8%
https://www.tvmaze.com/episodes/1931330/stillwater-1x01-the-impossible-dream-stuck-in-the-rain1
 
0.8%
https://www.tvmaze.com/episodes/1940038/the-wonderful-world-of-mickey-mouse-1x06-the-big-good-wolf1
 
0.8%
https://www.tvmaze.com/episodes/1940042/the-wonderful-world-of-mickey-mouse-1x05-keep-on-rollin1
 
0.8%
Other values (121)121
92.4%

Length

2022-05-09T21:01:54.629413image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://www.tvmaze.com/episodes/1984016/roast-battle-labelcom-1x14-14-anton-sastun1
 
0.8%
https://www.tvmaze.com/episodes/1983590/el-estado-contra-pablo-ibar-1x04-los-testigos1
 
0.8%
https://www.tvmaze.com/episodes/1976570/zakon-i-besporyadok-1x03-seria-31
 
0.8%
https://www.tvmaze.com/episodes/1976571/zakon-i-besporyadok-1x04-seria-41
 
0.8%
https://www.tvmaze.com/episodes/1979225/kotiki-1x05-seria-51
 
0.8%
https://www.tvmaze.com/episodes/1972557/the-wolf-1x15-episode-151
 
0.8%
https://www.tvmaze.com/episodes/1972558/the-wolf-1x16-episode-161
 
0.8%
https://www.tvmaze.com/episodes/1910446/the-founder-of-diabolism-q-1x20-drunkenness1
 
0.8%
https://www.tvmaze.com/episodes/2082172/ling-jian-zun-4x29-di129ji1
 
0.8%
https://www.tvmaze.com/episodes/2080222/supreme-god-emperor-1x60-episode-601
 
0.8%
Other values (121)121
92.4%

Most occurring characters

ValueCountFrequency (%)
e854
 
8.4%
-750
 
7.4%
/655
 
6.5%
s628
 
6.2%
t614
 
6.1%
o531
 
5.3%
w441
 
4.4%
a432
 
4.3%
i404
 
4.0%
m351
 
3.5%
Other values (30)4447
44.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6888
68.2%
Decimal Number1421
 
14.1%
Other Punctuation1048
 
10.4%
Dash Punctuation750
 
7.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e854
12.4%
s628
 
9.1%
t614
 
8.9%
o531
 
7.7%
w441
 
6.4%
a432
 
6.3%
i404
 
5.9%
m351
 
5.1%
p348
 
5.1%
d284
 
4.1%
Other values (16)2001
29.1%
Decimal Number
ValueCountFrequency (%)
1317
22.3%
9198
13.9%
0194
13.7%
2146
10.3%
7117
 
8.2%
4101
 
7.1%
395
 
6.7%
893
 
6.5%
692
 
6.5%
568
 
4.8%
Other Punctuation
ValueCountFrequency (%)
/655
62.5%
.262
 
25.0%
:131
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
-750
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin6888
68.2%
Common3219
31.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e854
12.4%
s628
 
9.1%
t614
 
8.9%
o531
 
7.7%
w441
 
6.4%
a432
 
6.3%
i404
 
5.9%
m351
 
5.1%
p348
 
5.1%
d284
 
4.1%
Other values (16)2001
29.1%
Common
ValueCountFrequency (%)
-750
23.3%
/655
20.3%
1317
9.8%
.262
 
8.1%
9198
 
6.2%
0194
 
6.0%
2146
 
4.5%
:131
 
4.1%
7117
 
3.6%
4101
 
3.1%
Other values (4)348
10.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII10107
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e854
 
8.4%
-750
 
7.4%
/655
 
6.5%
s628
 
6.2%
t614
 
6.1%
o531
 
5.3%
w441
 
4.4%
a432
 
4.3%
i404
 
4.0%
m351
 
3.5%
Other values (30)4447
44.0%

name
Categorical

HIGH CARDINALITY
UNIFORM

Distinct119
Distinct (%)90.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Episode 1
 
4
Episode 6
 
3
Episode 2
 
3
Episode 4
 
3
Episode 3
 
3
Other values (114)
115 

Length

Max length71
Median length54
Mean length15.80916031
Min length3

Characters and Unicode

Total characters2071
Distinct characters116
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique113 ?
Unique (%)86.3%

Sample

1st row#14 - Антон Шастун
2nd rowСерия 12
3rd rowСерия 3
4th rowСерия 4
5th rowСерия 5

Common Values

ValueCountFrequency (%)
Episode 14
 
3.1%
Episode 63
 
2.3%
Episode 23
 
2.3%
Episode 43
 
2.3%
Episode 33
 
2.3%
Episode 52
 
1.5%
Folge 81
 
0.8%
Lion Grasslands1
 
0.8%
Tarsier Forest1
 
0.8%
Jaguar Jungle1
 
0.8%
Other values (109)109
83.2%

Length

2022-05-09T21:01:55.070141image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
episode29
 
7.4%
the22
 
5.6%
13
 
3.3%
folge8
 
2.0%
18
 
2.0%
37
 
1.8%
46
 
1.5%
56
 
1.5%
25
 
1.3%
64
 
1.0%
Other values (249)283
72.4%

Most occurring characters

ValueCountFrequency (%)
260
 
12.6%
e186
 
9.0%
o120
 
5.8%
i112
 
5.4%
a99
 
4.8%
s98
 
4.7%
r94
 
4.5%
d71
 
3.4%
t67
 
3.2%
n65
 
3.1%
Other values (106)899
43.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1367
66.0%
Uppercase Letter306
 
14.8%
Space Separator260
 
12.6%
Decimal Number85
 
4.1%
Other Punctuation40
 
1.9%
Dash Punctuation5
 
0.2%
Close Punctuation2
 
0.1%
Open Punctuation2
 
0.1%
Math Symbol2
 
0.1%
Other Letter2
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e186
13.6%
o120
 
8.8%
i112
 
8.2%
a99
 
7.2%
s98
 
7.2%
r94
 
6.9%
d71
 
5.2%
t67
 
4.9%
n65
 
4.8%
l58
 
4.2%
Other values (44)397
29.0%
Uppercase Letter
ValueCountFrequency (%)
E39
 
12.7%
T29
 
9.5%
F21
 
6.9%
A17
 
5.6%
D17
 
5.6%
S15
 
4.9%
P13
 
4.2%
C13
 
4.2%
B13
 
4.2%
M12
 
3.9%
Other values (27)117
38.2%
Decimal Number
ValueCountFrequency (%)
121
24.7%
213
15.3%
311
12.9%
49
10.6%
57
 
8.2%
96
 
7.1%
66
 
7.1%
05
 
5.9%
84
 
4.7%
73
 
3.5%
Other Punctuation
ValueCountFrequency (%)
,10
25.0%
.8
20.0%
/8
20.0%
'4
 
10.0%
:4
 
10.0%
?3
 
7.5%
#2
 
5.0%
&1
 
2.5%
Other Letter
ValueCountFrequency (%)
1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
260
100.0%
Dash Punctuation
ValueCountFrequency (%)
-5
100.0%
Close Punctuation
ValueCountFrequency (%)
)2
100.0%
Open Punctuation
ValueCountFrequency (%)
(2
100.0%
Math Symbol
ValueCountFrequency (%)
|2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1577
76.1%
Common396
 
19.1%
Cyrillic96
 
4.6%
Han2
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e186
 
11.8%
o120
 
7.6%
i112
 
7.1%
a99
 
6.3%
s98
 
6.2%
r94
 
6.0%
d71
 
4.5%
t67
 
4.2%
n65
 
4.1%
l58
 
3.7%
Other values (47)607
38.5%
Cyrillic
ValueCountFrequency (%)
и11
 
11.5%
е10
 
10.4%
р8
 
8.3%
а8
 
8.3%
н6
 
6.2%
я5
 
5.2%
С5
 
5.2%
т5
 
5.2%
у4
 
4.2%
к3
 
3.1%
Other values (24)31
32.3%
Common
ValueCountFrequency (%)
260
65.7%
121
 
5.3%
213
 
3.3%
311
 
2.8%
,10
 
2.5%
49
 
2.3%
.8
 
2.0%
/8
 
2.0%
57
 
1.8%
96
 
1.5%
Other values (13)43
 
10.9%
Han
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1963
94.8%
Cyrillic96
 
4.6%
None10
 
0.5%
CJK2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
260
 
13.2%
e186
 
9.5%
o120
 
6.1%
i112
 
5.7%
a99
 
5.0%
s98
 
5.0%
r94
 
4.8%
d71
 
3.6%
t67
 
3.4%
n65
 
3.3%
Other values (63)791
40.3%
Cyrillic
ValueCountFrequency (%)
и11
 
11.5%
е10
 
10.4%
р8
 
8.3%
а8
 
8.3%
н6
 
6.2%
я5
 
5.2%
С5
 
5.2%
т5
 
5.2%
у4
 
4.2%
к3
 
3.1%
Other values (24)31
32.3%
None
ValueCountFrequency (%)
ó2
20.0%
ü2
20.0%
ö2
20.0%
Ş1
10.0%
í1
10.0%
ø1
10.0%
é1
10.0%
CJK
ValueCountFrequency (%)
1
50.0%
1
50.0%

season
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct11
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.12977099
Minimum1
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2022-05-09T21:01:55.492853image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32.5
95-th percentile14
Maximum2020
Range2019
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation388.1239175
Coefficient of variation (CV)4.904903839
Kurtosis22.11809765
Mean79.12977099
Median Absolute Deviation (MAD)0
Skewness4.876403893
Sum10366
Variance150640.1753
MonotonicityNot monotonic
2022-05-09T21:01:55.822433image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
194
71.8%
417
 
13.0%
20205
 
3.8%
24
 
3.1%
72
 
1.5%
102
 
1.5%
52
 
1.5%
32
 
1.5%
111
 
0.8%
171
 
0.8%
ValueCountFrequency (%)
194
71.8%
24
 
3.1%
32
 
1.5%
417
 
13.0%
52
 
1.5%
72
 
1.5%
102
 
1.5%
111
 
0.8%
171
 
0.8%
181
 
0.8%
ValueCountFrequency (%)
20205
 
3.8%
181
 
0.8%
171
 
0.8%
111
 
0.8%
102
 
1.5%
72
 
1.5%
52
 
1.5%
417
13.0%
32
 
1.5%
24
 
3.1%

number
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct29
Distinct (%)22.8%
Missing4
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean14.58267717
Minimum1
Maximum331
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2022-05-09T21:01:56.172978image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q39
95-th percentile43.2
Maximum331
Range330
Interquartile range (IQR)6

Descriptive statistics

Standard deviation42.66358637
Coefficient of variation (CV)2.925634703
Kurtosis39.08374687
Mean14.58267717
Median Absolute Deviation (MAD)3
Skewness6.073444705
Sum1852
Variance1820.181602
MonotonicityNot monotonic
2022-05-09T21:01:56.440592image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
316
12.2%
116
12.2%
614
10.7%
212
9.2%
412
9.2%
512
9.2%
86
 
4.6%
75
 
3.8%
95
 
3.8%
133
 
2.3%
Other values (19)26
19.8%
(Missing)4
 
3.1%
ValueCountFrequency (%)
116
12.2%
212
9.2%
316
12.2%
412
9.2%
512
9.2%
614
10.7%
75
 
3.8%
86
 
4.6%
95
 
3.8%
103
 
2.3%
ValueCountFrequency (%)
3311
0.8%
2901
0.8%
1911
0.8%
831
0.8%
601
0.8%
591
0.8%
481
0.8%
321
0.8%
311
0.8%
292
1.5%

type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
regular
127 
insignificant_special
 
3
significant_special
 
1

Length

Max length21
Median length7
Mean length7.41221374
Min length7

Characters and Unicode

Total characters971
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st rowregular
2nd rowregular
3rd rowregular
4th rowregular
5th rowregular

Common Values

ValueCountFrequency (%)
regular127
96.9%
insignificant_special3
 
2.3%
significant_special1
 
0.8%

Length

2022-05-09T21:01:56.729464image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:01:57.028989image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
regular127
96.9%
insignificant_special3
 
2.3%
significant_special1
 
0.8%

Most occurring characters

ValueCountFrequency (%)
r254
26.2%
a135
13.9%
e131
13.5%
g131
13.5%
l131
13.5%
u127
13.1%
i19
 
2.0%
n11
 
1.1%
s8
 
0.8%
c8
 
0.8%
Other values (4)16
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter967
99.6%
Connector Punctuation4
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r254
26.3%
a135
14.0%
e131
13.5%
g131
13.5%
l131
13.5%
u127
13.1%
i19
 
2.0%
n11
 
1.1%
s8
 
0.8%
c8
 
0.8%
Other values (3)12
 
1.2%
Connector Punctuation
ValueCountFrequency (%)
_4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin967
99.6%
Common4
 
0.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
r254
26.3%
a135
14.0%
e131
13.5%
g131
13.5%
l131
13.5%
u127
13.1%
i19
 
2.0%
n11
 
1.1%
s8
 
0.8%
c8
 
0.8%
Other values (3)12
 
1.2%
Common
ValueCountFrequency (%)
_4
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII971
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r254
26.2%
a135
13.9%
e131
13.5%
g131
13.5%
l131
13.5%
u127
13.1%
i19
 
2.0%
n11
 
1.1%
s8
 
0.8%
c8
 
0.8%
Other values (4)16
 
1.6%

airdate
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2020-12-04
131 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters1310
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-12-04
2nd row2020-12-04
3rd row2020-12-04
4th row2020-12-04
5th row2020-12-04

Common Values

ValueCountFrequency (%)
2020-12-04131
100.0%

Length

2022-05-09T21:01:57.295577image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:01:57.568434image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-12-04131
100.0%

Most occurring characters

ValueCountFrequency (%)
2393
30.0%
0393
30.0%
-262
20.0%
1131
 
10.0%
4131
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1048
80.0%
Dash Punctuation262
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2393
37.5%
0393
37.5%
1131
 
12.5%
4131
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
-262
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common1310
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2393
30.0%
0393
30.0%
-262
20.0%
1131
 
10.0%
4131
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1310
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2393
30.0%
0393
30.0%
-262
20.0%
1131
 
10.0%
4131
 
10.0%

airtime
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct7
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
nan
110 
20:00
 
9
12:00
 
5
06:00
 
4
18:00
 
1
Other values (2)
 
2

Length

Max length5
Median length3
Mean length3.320610687
Min length3

Characters and Unicode

Total characters435
Distinct characters9
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)2.3%

Sample

1st rownan
2nd rownan
3rd row12:00
4th row12:00
5th rownan

Common Values

ValueCountFrequency (%)
nan110
84.0%
20:009
 
6.9%
12:005
 
3.8%
06:004
 
3.1%
18:001
 
0.8%
21:001
 
0.8%
18:301
 
0.8%

Length

2022-05-09T21:01:57.792401image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:01:58.085250image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
nan110
84.0%
20:009
 
6.9%
12:005
 
3.8%
06:004
 
3.1%
18:001
 
0.8%
21:001
 
0.8%
18:301
 
0.8%

Most occurring characters

ValueCountFrequency (%)
n220
50.6%
a110
25.3%
054
 
12.4%
:21
 
4.8%
215
 
3.4%
18
 
1.8%
64
 
0.9%
82
 
0.5%
31
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter330
75.9%
Decimal Number84
 
19.3%
Other Punctuation21
 
4.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
054
64.3%
215
 
17.9%
18
 
9.5%
64
 
4.8%
82
 
2.4%
31
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
n220
66.7%
a110
33.3%
Other Punctuation
ValueCountFrequency (%)
:21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin330
75.9%
Common105
 
24.1%

Most frequent character per script

Common
ValueCountFrequency (%)
054
51.4%
:21
 
20.0%
215
 
14.3%
18
 
7.6%
64
 
3.8%
82
 
1.9%
31
 
1.0%
Latin
ValueCountFrequency (%)
n220
66.7%
a110
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII435
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n220
50.6%
a110
25.3%
054
 
12.4%
:21
 
4.8%
215
 
3.4%
18
 
1.8%
64
 
0.9%
82
 
0.5%
31
 
0.2%

airstamp
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct9
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2020-12-04T12:00:00+00:00
89 
2020-12-04T11:00:00+00:00
22 
2020-12-04T00:00:00+00:00
 
5
2020-12-04T04:00:00+00:00
 
5
2020-12-04T09:00:00+00:00
 
4
Other values (4)
 
6

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters3275
Distinct characters12
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)2.3%

Sample

1st row2020-12-04T00:00:00+00:00
2nd row2020-12-04T00:00:00+00:00
3rd row2020-12-04T00:00:00+00:00
4th row2020-12-04T00:00:00+00:00
5th row2020-12-04T00:00:00+00:00

Common Values

ValueCountFrequency (%)
2020-12-04T12:00:00+00:0089
67.9%
2020-12-04T11:00:00+00:0022
 
16.8%
2020-12-04T00:00:00+00:005
 
3.8%
2020-12-04T04:00:00+00:005
 
3.8%
2020-12-04T09:00:00+00:004
 
3.1%
2020-12-04T05:00:00+00:003
 
2.3%
2020-12-04T06:00:00+00:001
 
0.8%
2020-12-04T06:30:00+00:001
 
0.8%
2020-12-04T09:30:00+00:001
 
0.8%

Length

2022-05-09T21:01:58.403927image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:01:58.712582image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-12-04t12:00:00+00:0089
67.9%
2020-12-04t11:00:00+00:0022
 
16.8%
2020-12-04t00:00:00+00:005
 
3.8%
2020-12-04t04:00:00+00:005
 
3.8%
2020-12-04t09:00:00+00:004
 
3.1%
2020-12-04t05:00:00+00:003
 
2.3%
2020-12-04t06:00:00+00:001
 
0.8%
2020-12-04t06:30:00+00:001
 
0.8%
2020-12-04t09:30:00+00:001
 
0.8%

Most occurring characters

ValueCountFrequency (%)
01464
44.7%
2482
 
14.7%
:393
 
12.0%
1264
 
8.1%
-262
 
8.0%
4136
 
4.2%
T131
 
4.0%
+131
 
4.0%
95
 
0.2%
53
 
0.1%
Other values (2)4
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number2358
72.0%
Other Punctuation393
 
12.0%
Dash Punctuation262
 
8.0%
Uppercase Letter131
 
4.0%
Math Symbol131
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
01464
62.1%
2482
 
20.4%
1264
 
11.2%
4136
 
5.8%
95
 
0.2%
53
 
0.1%
62
 
0.1%
32
 
0.1%
Other Punctuation
ValueCountFrequency (%)
:393
100.0%
Dash Punctuation
ValueCountFrequency (%)
-262
100.0%
Uppercase Letter
ValueCountFrequency (%)
T131
100.0%
Math Symbol
ValueCountFrequency (%)
+131
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common3144
96.0%
Latin131
 
4.0%

Most frequent character per script

Common
ValueCountFrequency (%)
01464
46.6%
2482
 
15.3%
:393
 
12.5%
1264
 
8.4%
-262
 
8.3%
4136
 
4.3%
+131
 
4.2%
95
 
0.2%
53
 
0.1%
62
 
0.1%
Latin
ValueCountFrequency (%)
T131
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3275
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
01464
44.7%
2482
 
14.7%
:393
 
12.0%
1264
 
8.1%
-262
 
8.0%
4136
 
4.2%
T131
 
4.0%
+131
 
4.0%
95
 
0.2%
53
 
0.1%
Other values (2)4
 
0.1%

runtime
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct45
Distinct (%)36.0%
Missing6
Missing (%)4.6%
Infinite0
Infinite (%)0.0%
Mean33.544
Minimum1
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2022-05-09T21:01:59.063167image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.2
Q121
median28
Q344
95-th percentile55.8
Maximum300
Range299
Interquartile range (IQR)23

Descriptive statistics

Standard deviation30.23016652
Coefficient of variation (CV)0.9012093525
Kurtosis49.27972348
Mean33.544
Median Absolute Deviation (MAD)9
Skewness5.947145849
Sum4193
Variance913.8629677
MonotonicityNot monotonic
2022-05-09T21:01:59.430832image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
2711
 
8.4%
298
 
6.1%
288
 
6.1%
508
 
6.1%
307
 
5.3%
556
 
4.6%
125
 
3.8%
455
 
3.8%
235
 
3.8%
374
 
3.1%
Other values (35)58
44.3%
(Missing)6
 
4.6%
ValueCountFrequency (%)
11
 
0.8%
51
 
0.8%
71
 
0.8%
84
3.1%
91
 
0.8%
103
2.3%
113
2.3%
125
3.8%
133
2.3%
142
 
1.5%
ValueCountFrequency (%)
3001
 
0.8%
1202
 
1.5%
661
 
0.8%
601
 
0.8%
581
 
0.8%
561
 
0.8%
556
4.6%
531
 
0.8%
508
6.1%
491
 
0.8%

image
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct77
Distinct (%)100.0%
Missing54
Missing (%)41.2%
Memory size1.1 KiB
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/284/710025.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/284/710025.jpg'}
 
1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/286/716292.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/286/716292.jpg'}
 
1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/286/716291.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/286/716291.jpg'}
 
1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/286/716290.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/286/716290.jpg'}
 
1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/286/716289.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/286/716289.jpg'}
 
1
Other values (72)
72 

Length

Max length176
Median length176
Mean length176
Min length176

Characters and Unicode

Total characters13552
Distinct characters38
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)100.0%

Sample

1st row{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/287/719797.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/287/719797.jpg'}
2nd row{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/285/714185.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/285/714185.jpg'}
3rd row{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726338.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726338.jpg'}
4th row{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/286/716428.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/286/716428.jpg'}
5th row{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/286/716537.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/286/716537.jpg'}

Common Values

ValueCountFrequency (%)
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/284/710025.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/284/710025.jpg'}1
 
0.8%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/286/716292.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/286/716292.jpg'}1
 
0.8%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/286/716291.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/286/716291.jpg'}1
 
0.8%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/286/716290.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/286/716290.jpg'}1
 
0.8%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/286/716289.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/286/716289.jpg'}1
 
0.8%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/286/716288.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/286/716288.jpg'}1
 
0.8%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/286/716287.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/286/716287.jpg'}1
 
0.8%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/721617.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/721617.jpg'}1
 
0.8%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/291/729309.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/291/729309.jpg'}1
 
0.8%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/291/727773.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/291/727773.jpg'}1
 
0.8%
Other values (67)67
51.1%
(Missing)54
41.2%

Length

2022-05-09T21:01:59.718369image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
medium77
25.0%
original77
25.0%
https://static.tvmaze.com/uploads/images/original_untouched/286/716538.jpg1
 
0.3%
https://static.tvmaze.com/uploads/images/medium_landscape/286/716302.jpg1
 
0.3%
https://static.tvmaze.com/uploads/images/original_untouched/286/716302.jpg1
 
0.3%
https://static.tvmaze.com/uploads/images/medium_landscape/283/708518.jpg1
 
0.3%
https://static.tvmaze.com/uploads/images/original_untouched/283/708518.jpg1
 
0.3%
https://static.tvmaze.com/uploads/images/medium_landscape/282/707166.jpg1
 
0.3%
https://static.tvmaze.com/uploads/images/original_untouched/282/707166.jpg1
 
0.3%
https://static.tvmaze.com/uploads/images/medium_landscape/286/716538.jpg1
 
0.3%
Other values (146)146
47.4%

Most occurring characters

ValueCountFrequency (%)
/1078
 
8.0%
a924
 
6.8%
t847
 
6.2%
m770
 
5.7%
i770
 
5.7%
s693
 
5.1%
e616
 
4.5%
'616
 
4.5%
o539
 
4.0%
p539
 
4.0%
Other values (28)6160
45.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter9086
67.0%
Other Punctuation2541
 
18.8%
Decimal Number1386
 
10.2%
Space Separator231
 
1.7%
Connector Punctuation154
 
1.1%
Close Punctuation77
 
0.6%
Open Punctuation77
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a924
 
10.2%
t847
 
9.3%
m770
 
8.5%
i770
 
8.5%
s693
 
7.6%
e616
 
6.8%
o539
 
5.9%
p539
 
5.9%
g462
 
5.1%
c462
 
5.1%
Other values (9)2464
27.1%
Decimal Number
ValueCountFrequency (%)
2284
20.5%
6262
18.9%
7216
15.6%
8198
14.3%
1176
12.7%
358
 
4.2%
956
 
4.0%
052
 
3.8%
544
 
3.2%
440
 
2.9%
Other Punctuation
ValueCountFrequency (%)
/1078
42.4%
'616
24.2%
.462
18.2%
:308
 
12.1%
,77
 
3.0%
Space Separator
ValueCountFrequency (%)
231
100.0%
Connector Punctuation
ValueCountFrequency (%)
_154
100.0%
Close Punctuation
ValueCountFrequency (%)
}77
100.0%
Open Punctuation
ValueCountFrequency (%)
{77
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin9086
67.0%
Common4466
33.0%

Most frequent character per script

Common
ValueCountFrequency (%)
/1078
24.1%
'616
13.8%
.462
10.3%
:308
 
6.9%
2284
 
6.4%
6262
 
5.9%
231
 
5.2%
7216
 
4.8%
8198
 
4.4%
1176
 
3.9%
Other values (9)635
14.2%
Latin
ValueCountFrequency (%)
a924
 
10.2%
t847
 
9.3%
m770
 
8.5%
i770
 
8.5%
s693
 
7.6%
e616
 
6.8%
o539
 
5.9%
p539
 
5.9%
g462
 
5.1%
c462
 
5.1%
Other values (9)2464
27.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII13552
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/1078
 
8.0%
a924
 
6.8%
t847
 
6.2%
m770
 
5.7%
i770
 
5.7%
s693
 
5.1%
e616
 
4.5%
'616
 
4.5%
o539
 
4.0%
p539
 
4.0%
Other values (28)6160
45.5%

summary
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct55
Distinct (%)42.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
nan
77 
<p>Simon and the Kings plan their next heist. Mo agrees to do the job, under one condition. Zaza forces Mimi to try and set up a meeting with Tlotlo.</p><p><br /> </p>
 
1
<p>Karl builds a spaceship but no one thinks it will fly. An unwelcome summer rain gives Michael a new perspective on fun.</p>
 
1
<p>Addy gets frustrated with Karl for not sharing a game. Karl receives a toy robot that isn't what he expected.</p>
 
1
<p>Karl and Michael feel badly after accidentally soaking Addy with water balloons. When Michael and Addy build a go-kart, Karl feels left out.</p>
 
1
Other values (50)
50 

Length

Max length330
Median length3
Mean length66.57251908
Min length3

Characters and Unicode

Total characters8721
Distinct characters70
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)41.2%

Sample

1st rownan
2nd rownan
3rd rownan
4th rownan
5th rownan

Common Values

ValueCountFrequency (%)
nan77
58.8%
<p>Simon and the Kings plan their next heist. Mo agrees to do the job, under one condition. Zaza forces Mimi to try and set up a meeting with Tlotlo.</p><p><br /> </p>1
 
0.8%
<p>Karl builds a spaceship but no one thinks it will fly. An unwelcome summer rain gives Michael a new perspective on fun.</p>1
 
0.8%
<p>Addy gets frustrated with Karl for not sharing a game. Karl receives a toy robot that isn't what he expected.</p>1
 
0.8%
<p>Karl and Michael feel badly after accidentally soaking Addy with water balloons. When Michael and Addy build a go-kart, Karl feels left out.</p>1
 
0.8%
<p>Michael is hired to pet-sit a neighbor's dog for the weekend. Things don't go as planned when the kids try to watch a lunar eclipse.</p>1
 
0.8%
<p>Addy feels sad after losing a cross-country race. Karl is unwilling to give up his favorite shirt, even though he's outgrown it.</p>1
 
0.8%
<p> Karl is afraid to visit a barber for the first time. Michael becomes determined to make the perfect paper airplane.</p>1
 
0.8%
<p>Realizing Olivia can communicate with the possessed children, she and Wallace come up with a plan to rescue Marcus. Can they reach him before it's too late?</p>1
 
0.8%
<p>The day Mo Masire is released from prison, police officer Jazmine pulls him in for questioning. She wants to use him to get to his brother, Simon.</p><p><br /> </p>1
 
0.8%
Other values (45)45
34.4%

Length

2022-05-09T21:02:00.121309image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
nan77
 
5.2%
the58
 
3.9%
to56
 
3.8%
a54
 
3.7%
and34
 
2.3%
p28
 
1.9%
with26
 
1.8%
24
 
1.6%
her20
 
1.4%
of19
 
1.3%
Other values (705)1083
73.2%

Most occurring characters

ValueCountFrequency (%)
1317
15.1%
e724
 
8.3%
n615
 
7.1%
a586
 
6.7%
t517
 
5.9%
i475
 
5.4%
o444
 
5.1%
s441
 
5.1%
r410
 
4.7%
h321
 
3.7%
Other values (60)2871
32.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6459
74.1%
Space Separator1352
 
15.5%
Math Symbol364
 
4.2%
Other Punctuation283
 
3.2%
Uppercase Letter239
 
2.7%
Dash Punctuation18
 
0.2%
Decimal Number4
 
< 0.1%
Open Punctuation1
 
< 0.1%
Close Punctuation1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e724
11.2%
n615
 
9.5%
a586
 
9.1%
t517
 
8.0%
i475
 
7.4%
o444
 
6.9%
s441
 
6.8%
r410
 
6.3%
h321
 
5.0%
p281
 
4.4%
Other values (16)1645
25.5%
Uppercase Letter
ValueCountFrequency (%)
S36
15.1%
M33
13.8%
A33
13.8%
B18
 
7.5%
K17
 
7.1%
T14
 
5.9%
W11
 
4.6%
R10
 
4.2%
I10
 
4.2%
Y7
 
2.9%
Other values (15)50
20.9%
Other Punctuation
ValueCountFrequency (%)
/104
36.7%
.82
29.0%
,62
21.9%
'28
 
9.9%
?3
 
1.1%
;2
 
0.7%
:1
 
0.4%
!1
 
0.4%
Decimal Number
ValueCountFrequency (%)
12
50.0%
81
25.0%
91
25.0%
Space Separator
ValueCountFrequency (%)
1317
97.4%
 35
 
2.6%
Math Symbol
ValueCountFrequency (%)
>182
50.0%
<182
50.0%
Dash Punctuation
ValueCountFrequency (%)
-14
77.8%
4
 
22.2%
Open Punctuation
ValueCountFrequency (%)
(1
100.0%
Close Punctuation
ValueCountFrequency (%)
)1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin6698
76.8%
Common2023
 
23.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e724
 
10.8%
n615
 
9.2%
a586
 
8.7%
t517
 
7.7%
i475
 
7.1%
o444
 
6.6%
s441
 
6.6%
r410
 
6.1%
h321
 
4.8%
p281
 
4.2%
Other values (41)1884
28.1%
Common
ValueCountFrequency (%)
1317
65.1%
>182
 
9.0%
<182
 
9.0%
/104
 
5.1%
.82
 
4.1%
,62
 
3.1%
 35
 
1.7%
'28
 
1.4%
-14
 
0.7%
4
 
0.2%
Other values (9)13
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII8682
99.6%
None35
 
0.4%
Punctuation4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1317
15.2%
e724
 
8.3%
n615
 
7.1%
a586
 
6.7%
t517
 
6.0%
i475
 
5.5%
o444
 
5.1%
s441
 
5.1%
r410
 
4.7%
h321
 
3.7%
Other values (58)2832
32.6%
None
ValueCountFrequency (%)
 35
100.0%
Punctuation
ValueCountFrequency (%)
4
100.0%

_embedded_show_id
Real number (ℝ≥0)

HIGH CORRELATION

Distinct66
Distinct (%)50.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45399.26718
Minimum7564
Maximum59495
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2022-05-09T21:02:00.496605image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum7564
5-th percentile18233.5
Q140759.5
median50402
Q352124
95-th percentile54387.5
Maximum59495
Range51931
Interquartile range (IQR)11364.5

Descriptive statistics

Standard deviation11464.6381
Coefficient of variation (CV)0.2525291444
Kurtosis2.208231816
Mean45399.26718
Median Absolute Deviation (MAD)1918
Skewness-1.704725805
Sum5947304
Variance131437926.7
MonotonicityNot monotonic
2022-05-09T21:02:01.000899image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2875710
 
7.6%
400199
 
6.9%
497388
 
6.1%
519146
 
4.6%
521246
 
4.6%
504636
 
4.6%
499406
 
4.6%
523206
 
4.6%
594954
 
3.1%
524154
 
3.1%
Other values (56)66
50.4%
ValueCountFrequency (%)
75641
 
0.8%
80351
 
0.8%
115022
 
1.5%
131681
 
0.8%
152501
 
0.8%
173561
 
0.8%
191111
 
0.8%
210351
 
0.8%
249631
 
0.8%
2875710
7.6%
ValueCountFrequency (%)
594954
3.1%
564331
 
0.8%
550191
 
0.8%
550161
 
0.8%
537591
 
0.8%
529841
 
0.8%
528001
 
0.8%
524551
 
0.8%
524161
 
0.8%
524154
3.1%

_embedded_show_url
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct66
Distinct (%)50.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
https://www.tvmaze.com/shows/28757/big-mouth
10 
https://www.tvmaze.com/shows/40019/selena-the-series
 
9
https://www.tvmaze.com/shows/49738/binge-reloaded
 
8
https://www.tvmaze.com/shows/51914/kings-of-joburg
 
6
https://www.tvmaze.com/shows/52124/bhaag-beanie-bhaag
 
6
Other values (61)
92 

Length

Max length70
Median length58
Mean length50.3129771
Min length39

Characters and Unicode

Total characters6591
Distinct characters40
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)36.6%

Sample

1st rowhttps://www.tvmaze.com/shows/48288/roast-battle-labelcom
2nd rowhttps://www.tvmaze.com/shows/48402/cuma
3rd rowhttps://www.tvmaze.com/shows/52118/zakon-i-besporyadok
4th rowhttps://www.tvmaze.com/shows/52118/zakon-i-besporyadok
5th rowhttps://www.tvmaze.com/shows/52198/kotiki

Common Values

ValueCountFrequency (%)
https://www.tvmaze.com/shows/28757/big-mouth10
 
7.6%
https://www.tvmaze.com/shows/40019/selena-the-series9
 
6.9%
https://www.tvmaze.com/shows/49738/binge-reloaded8
 
6.1%
https://www.tvmaze.com/shows/51914/kings-of-joburg6
 
4.6%
https://www.tvmaze.com/shows/52124/bhaag-beanie-bhaag6
 
4.6%
https://www.tvmaze.com/shows/50463/stillwater6
 
4.6%
https://www.tvmaze.com/shows/49940/earth-at-night-in-color6
 
4.6%
https://www.tvmaze.com/shows/52320/el-estado-contra-pablo-ibar6
 
4.6%
https://www.tvmaze.com/shows/59495/bli-med-heim4
 
3.1%
https://www.tvmaze.com/shows/52415/daughters4
 
3.1%
Other values (56)66
50.4%

Length

2022-05-09T21:02:01.267740image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://www.tvmaze.com/shows/28757/big-mouth10
 
7.6%
https://www.tvmaze.com/shows/40019/selena-the-series9
 
6.9%
https://www.tvmaze.com/shows/49738/binge-reloaded8
 
6.1%
https://www.tvmaze.com/shows/51914/kings-of-joburg6
 
4.6%
https://www.tvmaze.com/shows/52124/bhaag-beanie-bhaag6
 
4.6%
https://www.tvmaze.com/shows/50463/stillwater6
 
4.6%
https://www.tvmaze.com/shows/49940/earth-at-night-in-color6
 
4.6%
https://www.tvmaze.com/shows/52320/el-estado-contra-pablo-ibar6
 
4.6%
https://www.tvmaze.com/shows/59495/bli-med-heim4
 
3.1%
https://www.tvmaze.com/shows/52415/daughters4
 
3.1%
Other values (56)66
50.4%

Most occurring characters

ValueCountFrequency (%)
/655
 
9.9%
w552
 
8.4%
t513
 
7.8%
s497
 
7.5%
o398
 
6.0%
e351
 
5.3%
h343
 
5.2%
m316
 
4.8%
a297
 
4.5%
.262
 
4.0%
Other values (30)2407
36.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter4664
70.8%
Other Punctuation1048
 
15.9%
Decimal Number653
 
9.9%
Dash Punctuation226
 
3.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w552
11.8%
t513
11.0%
s497
10.7%
o398
 
8.5%
e351
 
7.5%
h343
 
7.4%
m316
 
6.8%
a297
 
6.4%
c168
 
3.6%
p147
 
3.2%
Other values (16)1082
23.2%
Decimal Number
ValueCountFrequency (%)
5113
17.3%
494
14.4%
184
12.9%
967
10.3%
264
9.8%
064
9.8%
744
 
6.7%
344
 
6.7%
840
 
6.1%
639
 
6.0%
Other Punctuation
ValueCountFrequency (%)
/655
62.5%
.262
 
25.0%
:131
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
-226
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin4664
70.8%
Common1927
29.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
w552
11.8%
t513
11.0%
s497
10.7%
o398
 
8.5%
e351
 
7.5%
h343
 
7.4%
m316
 
6.8%
a297
 
6.4%
c168
 
3.6%
p147
 
3.2%
Other values (16)1082
23.2%
Common
ValueCountFrequency (%)
/655
34.0%
.262
 
13.6%
-226
 
11.7%
:131
 
6.8%
5113
 
5.9%
494
 
4.9%
184
 
4.4%
967
 
3.5%
264
 
3.3%
064
 
3.3%
Other values (4)167
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII6591
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/655
 
9.9%
w552
 
8.4%
t513
 
7.8%
s497
 
7.5%
o398
 
6.0%
e351
 
5.3%
h343
 
5.2%
m316
 
4.8%
a297
 
4.5%
.262
 
4.0%
Other values (30)2407
36.5%

_embedded_show_name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct66
Distinct (%)50.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Big Mouth
10 
Selena: The Series
 
9
Binge Reloaded
 
8
Kings of Jo'Burg
 
6
Bhaag Beanie Bhaag
 
6
Other values (61)
92 

Length

Max length35
Median length23
Mean length15.51145038
Min length4

Characters and Unicode

Total characters2032
Distinct characters79
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)36.6%

Sample

1st rowRoast Battle Labelcom
2nd rowЧума!
3rd rowZakon i Besporyadok
4th rowZakon i Besporyadok
5th rowКотики

Common Values

ValueCountFrequency (%)
Big Mouth10
 
7.6%
Selena: The Series9
 
6.9%
Binge Reloaded8
 
6.1%
Kings of Jo'Burg6
 
4.6%
Bhaag Beanie Bhaag6
 
4.6%
Stillwater6
 
4.6%
Earth at Night in Color6
 
4.6%
El estado contra Pablo Ibar6
 
4.6%
Bli med heim4
 
3.1%
Daughters4
 
3.1%
Other values (56)66
50.4%

Length

2022-05-09T21:02:01.508049image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
the20
 
5.6%
bhaag12
 
3.4%
big10
 
2.8%
mouth10
 
2.8%
series9
 
2.5%
of9
 
2.5%
selena9
 
2.5%
reloaded8
 
2.2%
binge8
 
2.2%
earth7
 
2.0%
Other values (143)254
71.3%

Most occurring characters

ValueCountFrequency (%)
225
 
11.1%
e204
 
10.0%
a155
 
7.6%
o126
 
6.2%
i126
 
6.2%
r101
 
5.0%
n94
 
4.6%
t92
 
4.5%
l89
 
4.4%
h76
 
3.7%
Other values (69)744
36.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1483
73.0%
Uppercase Letter300
 
14.8%
Space Separator225
 
11.1%
Other Punctuation23
 
1.1%
Dash Punctuation1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e204
13.8%
a155
10.5%
o126
 
8.5%
i126
 
8.5%
r101
 
6.8%
n94
 
6.3%
t92
 
6.2%
l89
 
6.0%
h76
 
5.1%
g73
 
4.9%
Other values (32)347
23.4%
Uppercase Letter
ValueCountFrequency (%)
B56
18.7%
S33
 
11.0%
T25
 
8.3%
M22
 
7.3%
C16
 
5.3%
W16
 
5.3%
E14
 
4.7%
D12
 
4.0%
I11
 
3.7%
R11
 
3.7%
Other values (21)84
28.0%
Other Punctuation
ValueCountFrequency (%)
:12
52.2%
'7
30.4%
.3
 
13.0%
!1
 
4.3%
Space Separator
ValueCountFrequency (%)
225
100.0%
Dash Punctuation
ValueCountFrequency (%)
-1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1752
86.2%
Common249
 
12.3%
Cyrillic31
 
1.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e204
 
11.6%
a155
 
8.8%
o126
 
7.2%
i126
 
7.2%
r101
 
5.8%
n94
 
5.4%
t92
 
5.3%
l89
 
5.1%
h76
 
4.3%
g73
 
4.2%
Other values (44)616
35.2%
Cyrillic
ValueCountFrequency (%)
т3
 
9.7%
а3
 
9.7%
у3
 
9.7%
я2
 
6.5%
н2
 
6.5%
и2
 
6.5%
о2
 
6.5%
р2
 
6.5%
К2
 
6.5%
м1
 
3.2%
Other values (9)9
29.0%
Common
ValueCountFrequency (%)
225
90.4%
:12
 
4.8%
'7
 
2.8%
.3
 
1.2%
-1
 
0.4%
!1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII1993
98.1%
Cyrillic31
 
1.5%
None8
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
225
 
11.3%
e204
 
10.2%
a155
 
7.8%
o126
 
6.3%
i126
 
6.3%
r101
 
5.1%
n94
 
4.7%
t92
 
4.6%
l89
 
4.5%
h76
 
3.8%
Other values (46)705
35.4%
None
ValueCountFrequency (%)
ø4
50.0%
é2
25.0%
ş1
 
12.5%
ä1
 
12.5%
Cyrillic
ValueCountFrequency (%)
т3
 
9.7%
а3
 
9.7%
у3
 
9.7%
я2
 
6.5%
н2
 
6.5%
и2
 
6.5%
о2
 
6.5%
р2
 
6.5%
К2
 
6.5%
м1
 
3.2%
Other values (9)9
29.0%

_embedded_show_type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct10
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Scripted
67 
Animation
26 
Documentary
22 
Talk Show
 
5
Reality
 
4
Other values (5)

Length

Max length11
Median length8
Mean length8.679389313
Min length4

Characters and Unicode

Total characters1137
Distinct characters27
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)2.3%

Sample

1st rowGame Show
2nd rowScripted
3rd rowScripted
4th rowScripted
5th rowScripted

Common Values

ValueCountFrequency (%)
Scripted67
51.1%
Animation26
 
19.8%
Documentary22
 
16.8%
Talk Show5
 
3.8%
Reality4
 
3.1%
Game Show2
 
1.5%
Variety2
 
1.5%
Award Show1
 
0.8%
Sports1
 
0.8%
News1
 
0.8%

Length

2022-05-09T21:02:01.747052image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:02:01.952922image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
scripted67
48.2%
animation26
 
18.7%
documentary22
 
15.8%
show8
 
5.8%
talk5
 
3.6%
reality4
 
2.9%
game2
 
1.4%
variety2
 
1.4%
award1
 
0.7%
sports1
 
0.7%

Most occurring characters

ValueCountFrequency (%)
i125
11.0%
t122
10.7%
e98
 
8.6%
r93
 
8.2%
c89
 
7.8%
S76
 
6.7%
n74
 
6.5%
p68
 
6.0%
d68
 
6.0%
a62
 
5.5%
Other values (17)262
23.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter990
87.1%
Uppercase Letter139
 
12.2%
Space Separator8
 
0.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i125
12.6%
t122
12.3%
e98
9.9%
r93
9.4%
c89
9.0%
n74
7.5%
p68
6.9%
d68
6.9%
a62
6.3%
o57
5.8%
Other values (8)134
13.5%
Uppercase Letter
ValueCountFrequency (%)
S76
54.7%
A27
 
19.4%
D22
 
15.8%
T5
 
3.6%
R4
 
2.9%
G2
 
1.4%
V2
 
1.4%
N1
 
0.7%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1129
99.3%
Common8
 
0.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
i125
11.1%
t122
10.8%
e98
 
8.7%
r93
 
8.2%
c89
 
7.9%
S76
 
6.7%
n74
 
6.6%
p68
 
6.0%
d68
 
6.0%
a62
 
5.5%
Other values (16)254
22.5%
Common
ValueCountFrequency (%)
8
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1137
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i125
11.0%
t122
10.7%
e98
 
8.6%
r93
 
8.2%
c89
 
7.8%
S76
 
6.7%
n74
 
6.5%
p68
 
6.0%
d68
 
6.0%
a62
 
5.5%
Other values (17)262
23.0%

_embedded_show_language
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct15
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
English
50 
Norwegian
14 
Chinese
German
Spanish
Other values (10)
40 

Length

Max length10
Median length7
Mean length6.86259542
Min length4

Characters and Unicode

Total characters899
Distinct characters31
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)1.5%

Sample

1st rowRussian
2nd rowRussian
3rd rowRussian
4th rowRussian
5th rowRussian

Common Values

ValueCountFrequency (%)
English50
38.2%
Norwegian14
 
10.7%
Chinese9
 
6.9%
German9
 
6.9%
Spanish9
 
6.9%
Russian8
 
6.1%
Hindi7
 
5.3%
Korean6
 
4.6%
Thai5
 
3.8%
Tagalog4
 
3.1%
Other values (5)10
 
7.6%

Length

2022-05-09T21:02:02.168583image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
english50
38.2%
norwegian14
 
10.7%
chinese9
 
6.9%
german9
 
6.9%
spanish9
 
6.9%
russian8
 
6.1%
hindi7
 
5.3%
korean6
 
4.6%
thai5
 
3.8%
tagalog4
 
3.1%
Other values (5)10
 
7.6%

Most occurring characters

ValueCountFrequency (%)
n116
12.9%
i114
12.7%
s88
9.8%
h78
8.7%
g73
8.1%
a67
 
7.5%
l57
 
6.3%
e51
 
5.7%
E50
 
5.6%
r32
 
3.6%
Other values (21)173
19.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter768
85.4%
Uppercase Letter131
 
14.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n116
15.1%
i114
14.8%
s88
11.5%
h78
10.2%
g73
9.5%
a67
8.7%
l57
7.4%
e51
6.6%
r32
 
4.2%
o25
 
3.3%
Other values (8)67
8.7%
Uppercase Letter
ValueCountFrequency (%)
E50
38.2%
N14
 
10.7%
T11
 
8.4%
S9
 
6.9%
G9
 
6.9%
C9
 
6.9%
R8
 
6.1%
H7
 
5.3%
K6
 
4.6%
D3
 
2.3%
Other values (3)5
 
3.8%

Most occurring scripts

ValueCountFrequency (%)
Latin899
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
n116
12.9%
i114
12.7%
s88
9.8%
h78
8.7%
g73
8.1%
a67
 
7.5%
l57
 
6.3%
e51
 
5.7%
E50
 
5.6%
r32
 
3.6%
Other values (21)173
19.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII899
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n116
12.9%
i114
12.7%
s88
9.8%
h78
8.7%
g73
8.1%
a67
 
7.5%
l57
 
6.3%
e51
 
5.7%
E50
 
5.6%
r32
 
3.6%
Other values (21)173
19.2%

_embedded_show_genres
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct35
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
['Comedy']
21 
[]
12 
['Comedy', 'Fantasy', 'Romance']
10 
['Drama', 'Family', 'Music']
['Crime']
 
7
Other values (30)
72 

Length

Max length46
Median length34
Mean length20.00763359
Min length2

Characters and Unicode

Total characters2621
Distinct characters34
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)10.7%

Sample

1st row['Comedy']
2nd row['Comedy']
3rd row['Comedy', 'Action', 'Crime']
4th row['Comedy', 'Action', 'Crime']
5th row['Comedy']

Common Values

ValueCountFrequency (%)
['Comedy']21
16.0%
[]12
 
9.2%
['Comedy', 'Fantasy', 'Romance']10
 
7.6%
['Drama', 'Family', 'Music']9
 
6.9%
['Crime']7
 
5.3%
['Comedy', 'Romance']7
 
5.3%
['Nature', 'History']6
 
4.6%
['Drama', 'Crime', 'Supernatural']6
 
4.6%
['Children']6
 
4.6%
['Drama', 'Comedy', 'Romance']4
 
3.1%
Other values (25)43
32.8%

Length

2022-05-09T21:02:02.396440image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
comedy50
19.0%
drama38
14.4%
romance28
10.6%
family21
8.0%
crime20
 
7.6%
music15
 
5.7%
children14
 
5.3%
fantasy14
 
5.3%
12
 
4.6%
history11
 
4.2%
Other values (12)40
15.2%

Most occurring characters

ValueCountFrequency (%)
'502
19.2%
a179
 
6.8%
m162
 
6.2%
e150
 
5.7%
,132
 
5.0%
132
 
5.0%
[131
 
5.0%
]131
 
5.0%
r123
 
4.7%
o99
 
3.8%
Other values (24)880
33.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1340
51.1%
Other Punctuation634
24.2%
Uppercase Letter252
 
9.6%
Space Separator132
 
5.0%
Open Punctuation131
 
5.0%
Close Punctuation131
 
5.0%
Dash Punctuation1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a179
13.4%
m162
12.1%
e150
11.2%
r123
9.2%
o99
7.4%
y98
7.3%
i98
7.3%
n84
 
6.3%
d71
 
5.3%
t55
 
4.1%
Other values (7)221
16.5%
Uppercase Letter
ValueCountFrequency (%)
C84
33.3%
D38
15.1%
F36
14.3%
R28
 
11.1%
M17
 
6.7%
A17
 
6.7%
H12
 
4.8%
S11
 
4.4%
N6
 
2.4%
T2
 
0.8%
Other Punctuation
ValueCountFrequency (%)
'502
79.2%
,132
 
20.8%
Space Separator
ValueCountFrequency (%)
132
100.0%
Open Punctuation
ValueCountFrequency (%)
[131
100.0%
Close Punctuation
ValueCountFrequency (%)
]131
100.0%
Dash Punctuation
ValueCountFrequency (%)
-1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1592
60.7%
Common1029
39.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
a179
11.2%
m162
 
10.2%
e150
 
9.4%
r123
 
7.7%
o99
 
6.2%
y98
 
6.2%
i98
 
6.2%
C84
 
5.3%
n84
 
5.3%
d71
 
4.5%
Other values (18)444
27.9%
Common
ValueCountFrequency (%)
'502
48.8%
,132
 
12.8%
132
 
12.8%
[131
 
12.7%
]131
 
12.7%
-1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII2621
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
'502
19.2%
a179
 
6.8%
m162
 
6.2%
e150
 
5.7%
,132
 
5.0%
132
 
5.0%
[131
 
5.0%
]131
 
5.0%
r123
 
4.7%
o99
 
3.8%
Other values (24)880
33.6%

_embedded_show_status
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Running
47 
Ended
43 
To Be Determined
41 

Length

Max length16
Median length7
Mean length9.160305344
Min length5

Characters and Unicode

Total characters1200
Distinct characters16
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRunning
2nd rowEnded
3rd rowEnded
4th rowEnded
5th rowEnded

Common Values

ValueCountFrequency (%)
Running47
35.9%
Ended43
32.8%
To Be Determined41
31.3%

Length

2022-05-09T21:02:02.540031image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:02:02.703769image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
running47
22.1%
ended43
20.2%
to41
19.2%
be41
19.2%
determined41
19.2%

Most occurring characters

ValueCountFrequency (%)
n225
18.8%
e207
17.2%
d127
10.6%
i88
 
7.3%
82
 
6.8%
R47
 
3.9%
u47
 
3.9%
g47
 
3.9%
E43
 
3.6%
T41
 
3.4%
Other values (6)246
20.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter905
75.4%
Uppercase Letter213
 
17.8%
Space Separator82
 
6.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n225
24.9%
e207
22.9%
d127
14.0%
i88
 
9.7%
u47
 
5.2%
g47
 
5.2%
o41
 
4.5%
t41
 
4.5%
r41
 
4.5%
m41
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
R47
22.1%
E43
20.2%
T41
19.2%
B41
19.2%
D41
19.2%
Space Separator
ValueCountFrequency (%)
82
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1118
93.2%
Common82
 
6.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
n225
20.1%
e207
18.5%
d127
11.4%
i88
 
7.9%
R47
 
4.2%
u47
 
4.2%
g47
 
4.2%
E43
 
3.8%
T41
 
3.7%
o41
 
3.7%
Other values (5)205
18.3%
Common
ValueCountFrequency (%)
82
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n225
18.8%
e207
17.2%
d127
10.6%
i88
 
7.3%
82
 
6.8%
R47
 
3.9%
u47
 
3.9%
g47
 
3.9%
E43
 
3.6%
T41
 
3.4%
Other values (6)246
20.5%

_embedded_show_runtime
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct23
Distinct (%)39.0%
Missing72
Missing (%)55.0%
Infinite0
Infinite (%)0.0%
Mean37.42372881
Minimum1
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2022-05-09T21:02:02.871608image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.9
Q111.5
median30
Q350
95-th percentile66
Maximum300
Range299
Interquartile range (IQR)38.5

Descriptive statistics

Standard deviation42.30480668
Coefficient of variation (CV)1.130427353
Kurtosis25.85234719
Mean37.42372881
Median Absolute Deviation (MAD)20
Skewness4.440728196
Sum2208
Variance1789.696669
MonotonicityNot monotonic
2022-05-09T21:02:03.041478image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
508
 
6.1%
108
 
6.1%
306
 
4.6%
556
 
4.6%
455
 
3.8%
204
 
3.1%
212
 
1.5%
82
 
1.5%
112
 
1.5%
152
 
1.5%
Other values (13)14
 
10.7%
(Missing)72
55.0%
ValueCountFrequency (%)
11
 
0.8%
51
 
0.8%
71
 
0.8%
82
 
1.5%
108
6.1%
112
 
1.5%
121
 
0.8%
141
 
0.8%
152
 
1.5%
204
3.1%
ValueCountFrequency (%)
3001
 
0.8%
1202
 
1.5%
601
 
0.8%
556
4.6%
508
6.1%
481
 
0.8%
455
3.8%
401
 
0.8%
306
4.6%
281
 
0.8%

_embedded_show_averageRuntime
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct35
Distinct (%)27.6%
Missing4
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean33.43307087
Minimum1
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2022-05-09T21:02:03.200075image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.3
Q120
median29
Q345
95-th percentile55
Maximum300
Range299
Interquartile range (IQR)25

Descriptive statistics

Standard deviation29.73736641
Coefficient of variation (CV)0.8894596171
Kurtosis51.58002783
Mean33.43307087
Median Absolute Deviation (MAD)11
Skewness6.03066083
Sum4246
Variance884.3109611
MonotonicityNot monotonic
2022-05-09T21:02:03.471624image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
2915
 
11.5%
2710
 
7.6%
379
 
6.9%
507
 
5.3%
287
 
5.3%
537
 
5.3%
246
 
4.6%
556
 
4.6%
115
 
3.8%
124
 
3.1%
Other values (25)51
38.9%
ValueCountFrequency (%)
11
 
0.8%
52
 
1.5%
83
2.3%
91
 
0.8%
103
2.3%
115
3.8%
124
3.1%
134
3.1%
143
2.3%
153
2.3%
ValueCountFrequency (%)
3001
 
0.8%
1201
 
0.8%
971
 
0.8%
601
 
0.8%
556
4.6%
543
2.3%
537
5.3%
507
5.3%
482
 
1.5%
461
 
0.8%

_embedded_show_premiered
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct48
Distinct (%)36.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2020-12-04
59 
2017-09-29
10 
2018-01-02
 
4
2020-11-27
 
4
2020-11-06
 
4
Other values (43)
50 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters1310
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)27.5%

Sample

1st row2019-12-24
2nd row2020-05-29
3rd row2020-11-27
4th row2020-11-27
5th row2020-11-30

Common Values

ValueCountFrequency (%)
2020-12-0459
45.0%
2017-09-2910
 
7.6%
2018-01-024
 
3.1%
2020-11-274
 
3.1%
2020-11-064
 
3.1%
2020-11-182
 
1.5%
2012-01-282
 
1.5%
2020-09-112
 
1.5%
2020-11-202
 
1.5%
2020-10-302
 
1.5%
Other values (38)40
30.5%

Length

2022-05-09T21:02:03.649532image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2020-12-0459
45.0%
2017-09-2910
 
7.6%
2018-01-024
 
3.1%
2020-11-274
 
3.1%
2020-11-064
 
3.1%
2020-11-202
 
1.5%
2020-11-192
 
1.5%
2020-10-292
 
1.5%
2020-10-302
 
1.5%
2020-09-112
 
1.5%
Other values (38)40
30.5%

Most occurring characters

ValueCountFrequency (%)
0355
27.1%
2333
25.4%
-262
20.0%
1190
14.5%
469
 
5.3%
942
 
3.2%
719
 
1.5%
817
 
1.3%
38
 
0.6%
58
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1048
80.0%
Dash Punctuation262
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0355
33.9%
2333
31.8%
1190
18.1%
469
 
6.6%
942
 
4.0%
719
 
1.8%
817
 
1.6%
38
 
0.8%
58
 
0.8%
67
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
-262
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common1310
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0355
27.1%
2333
25.4%
-262
20.0%
1190
14.5%
469
 
5.3%
942
 
3.2%
719
 
1.5%
817
 
1.3%
38
 
0.6%
58
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII1310
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0355
27.1%
2333
25.4%
-262
20.0%
1190
14.5%
469
 
5.3%
942
 
3.2%
719
 
1.5%
817
 
1.3%
38
 
0.6%
58
 
0.6%

_embedded_show_ended
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct19
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
nan
88 
2021-05-04
2020-12-04
 
7
2020-12-11
 
5
2020-12-25
 
5
Other values (14)
17 

Length

Max length10
Median length3
Mean length5.297709924
Min length3

Characters and Unicode

Total characters694
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)8.4%

Sample

1st rownan
2nd row2020-12-18
3rd row2020-12-11
4th row2020-12-11
5th row2020-12-11

Common Values

ValueCountFrequency (%)
nan88
67.2%
2021-05-049
 
6.9%
2020-12-047
 
5.3%
2020-12-115
 
3.8%
2020-12-255
 
3.8%
2021-01-222
 
1.5%
2021-01-012
 
1.5%
2021-01-042
 
1.5%
2021-03-121
 
0.8%
2021-10-021
 
0.8%
Other values (9)9
 
6.9%

Length

2022-05-09T21:02:03.816676image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
nan88
67.2%
2021-05-049
 
6.9%
2020-12-047
 
5.3%
2020-12-115
 
3.8%
2020-12-255
 
3.8%
2021-01-222
 
1.5%
2021-01-012
 
1.5%
2021-01-042
 
1.5%
2020-12-051
 
0.8%
2021-03-131
 
0.8%
Other values (9)9
 
6.9%

Most occurring characters

ValueCountFrequency (%)
n176
25.4%
2122
17.6%
0111
16.0%
a88
12.7%
-86
12.4%
168
 
9.8%
419
 
2.7%
516
 
2.3%
33
 
0.4%
83
 
0.4%
Other values (2)2
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number344
49.6%
Lowercase Letter264
38.0%
Dash Punctuation86
 
12.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2122
35.5%
0111
32.3%
168
19.8%
419
 
5.5%
516
 
4.7%
33
 
0.9%
83
 
0.9%
61
 
0.3%
91
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
n176
66.7%
a88
33.3%
Dash Punctuation
ValueCountFrequency (%)
-86
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common430
62.0%
Latin264
38.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2122
28.4%
0111
25.8%
-86
20.0%
168
15.8%
419
 
4.4%
516
 
3.7%
33
 
0.7%
83
 
0.7%
61
 
0.2%
91
 
0.2%
Latin
ValueCountFrequency (%)
n176
66.7%
a88
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII694
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n176
25.4%
2122
17.6%
0111
16.0%
a88
12.7%
-86
12.4%
168
 
9.8%
419
 
2.7%
516
 
2.3%
33
 
0.4%
83
 
0.4%
Other values (2)2
 
0.3%

_embedded_show_officialSite
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct63
Distinct (%)48.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
nan
12 
https://www.netflix.com/title/80117038
10 
https://www.netflix.com/title/81022733
https://www.amazon.de/dp/B08N8ZMF8Y/
 
8
https://tv.apple.com/us/show/earth-at-night-in-color/umc.cmc.37dvcdop7ub4m8tx9fnczl1a1
 
6
Other values (58)
86 

Length

Max length166
Median length73
Mean length44.86259542
Min length3

Characters and Unicode

Total characters5877
Distinct characters71
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)35.9%

Sample

1st rowhttps://www.youtube.com/playlist?list=PLmkbS48df311cZnmhlV-5q5vY0icLXdl3
2nd rowhttps://www.ivi.ru/watch/chuma-2020
3rd rowhttps://www.ivi.ru/watch/zakon-i-besporyadok
4th rowhttps://www.ivi.ru/watch/zakon-i-besporyadok
5th rowhttp://epic-media.ru/project/kotiki

Common Values

ValueCountFrequency (%)
nan12
 
9.2%
https://www.netflix.com/title/8011703810
 
7.6%
https://www.netflix.com/title/810227339
 
6.9%
https://www.amazon.de/dp/B08N8ZMF8Y/8
 
6.1%
https://tv.apple.com/us/show/earth-at-night-in-color/umc.cmc.37dvcdop7ub4m8tx9fnczl1a16
 
4.6%
https://www.netflix.com/title/810180576
 
4.6%
https://tv.apple.com/us/show/stillwater/umc.cmc.3czcagetjq31vvbgkkyp1xiao6
 
4.6%
https://www.netflix.com/title/812198046
 
4.6%
https://tv.nrk.no/serie/bli-med-heim4
 
3.1%
https://www.iq.com/play/1n40eysnffc4
 
3.1%
Other values (53)60
45.8%

Length

2022-05-09T21:02:03.970328image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
nan12
 
9.2%
https://www.netflix.com/title/8011703810
 
7.6%
https://www.netflix.com/title/810227339
 
6.9%
https://www.amazon.de/dp/b08n8zmf8y8
 
6.1%
https://tv.apple.com/us/show/earth-at-night-in-color/umc.cmc.37dvcdop7ub4m8tx9fnczl1a16
 
4.6%
https://www.netflix.com/title/810180576
 
4.6%
https://tv.apple.com/us/show/stillwater/umc.cmc.3czcagetjq31vvbgkkyp1xiao6
 
4.6%
https://www.netflix.com/title/812198046
 
4.6%
https://tv.nrk.no/serie/bli-med-heim4
 
3.1%
https://www.iq.com/play/1n40eysnffc4
 
3.1%
Other values (53)60
45.8%

Most occurring characters

ValueCountFrequency (%)
/527
 
9.0%
t505
 
8.6%
w296
 
5.0%
e275
 
4.7%
.259
 
4.4%
s250
 
4.3%
o238
 
4.0%
i230
 
3.9%
c205
 
3.5%
p204
 
3.5%
Other values (61)2888
49.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter3973
67.6%
Other Punctuation919
 
15.6%
Decimal Number624
 
10.6%
Uppercase Letter230
 
3.9%
Dash Punctuation106
 
1.8%
Math Symbol16
 
0.3%
Connector Punctuation9
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t505
 
12.7%
w296
 
7.5%
e275
 
6.9%
s250
 
6.3%
o238
 
6.0%
i230
 
5.8%
c205
 
5.2%
p204
 
5.1%
l200
 
5.0%
h199
 
5.0%
Other values (16)1371
34.5%
Uppercase Letter
ValueCountFrequency (%)
Z18
 
7.8%
Y17
 
7.4%
B17
 
7.4%
D14
 
6.1%
F14
 
6.1%
N14
 
6.1%
P12
 
5.2%
L12
 
5.2%
S12
 
5.2%
M11
 
4.8%
Other values (16)89
38.7%
Decimal Number
ValueCountFrequency (%)
1115
18.4%
8103
16.5%
0100
16.0%
368
10.9%
762
9.9%
249
7.9%
442
 
6.7%
935
 
5.6%
529
 
4.6%
621
 
3.4%
Other Punctuation
ValueCountFrequency (%)
/527
57.3%
.259
28.2%
:119
 
12.9%
?10
 
1.1%
&4
 
0.4%
Math Symbol
ValueCountFrequency (%)
=14
87.5%
~2
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
-106
100.0%
Connector Punctuation
ValueCountFrequency (%)
_9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin4203
71.5%
Common1674
 
28.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
t505
 
12.0%
w296
 
7.0%
e275
 
6.5%
s250
 
5.9%
o238
 
5.7%
i230
 
5.5%
c205
 
4.9%
p204
 
4.9%
l200
 
4.8%
h199
 
4.7%
Other values (42)1601
38.1%
Common
ValueCountFrequency (%)
/527
31.5%
.259
15.5%
:119
 
7.1%
1115
 
6.9%
-106
 
6.3%
8103
 
6.2%
0100
 
6.0%
368
 
4.1%
762
 
3.7%
249
 
2.9%
Other values (9)166
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII5877
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/527
 
9.0%
t505
 
8.6%
w296
 
5.0%
e275
 
4.7%
.259
 
4.4%
s250
 
4.3%
o238
 
4.0%
i230
 
3.9%
c205
 
3.5%
p204
 
3.5%
Other values (61)2888
49.1%

_embedded_show_weight
Real number (ℝ≥0)

HIGH CORRELATION

Distinct44
Distinct (%)33.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.0610687
Minimum1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2022-05-09T21:02:04.192581image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q123
median38
Q384
95-th percentile91.5
Maximum100
Range99
Interquartile range (IQR)61

Descriptive statistics

Standard deviation31.26530535
Coefficient of variation (CV)0.6245433061
Kurtosis-1.479361029
Mean50.0610687
Median Absolute Deviation (MAD)24
Skewness0.06865160745
Sum6558
Variance977.5193188
MonotonicityNot monotonic
2022-05-09T21:02:04.406176image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
8815
 
11.5%
1511
 
8.4%
3711
 
8.4%
9110
 
7.6%
366
 
4.6%
846
 
4.6%
926
 
4.6%
35
 
3.8%
14
 
3.1%
304
 
3.1%
Other values (34)53
40.5%
ValueCountFrequency (%)
14
 
3.1%
35
3.8%
41
 
0.8%
51
 
0.8%
71
 
0.8%
101
 
0.8%
141
 
0.8%
1511
8.4%
171
 
0.8%
182
 
1.5%
ValueCountFrequency (%)
1001
 
0.8%
926
 
4.6%
9110
7.6%
8815
11.5%
846
 
4.6%
822
 
1.5%
792
 
1.5%
781
 
0.8%
751
 
0.8%
733
 
2.3%

_embedded_show_dvdCountry
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
nan
131 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters393
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rownan
2nd rownan
3rd rownan
4th rownan
5th rownan

Common Values

ValueCountFrequency (%)
nan131
100.0%

Length

2022-05-09T21:02:04.741456image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:02:04.870198image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
nan131
100.0%

Most occurring characters

ValueCountFrequency (%)
n262
66.7%
a131
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter393
100.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n262
66.7%
a131
33.3%

Most occurring scripts

ValueCountFrequency (%)
Latin393
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
n262
66.7%
a131
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII393
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n262
66.7%
a131
33.3%

_embedded_show_summary
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct59
Distinct (%)45.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<p>Teenage friends find their lives upended by the wonders and horrors of puberty in this edgy comedy from real-life pals Nick Kroll and Andrew Goldberg.</p>
10 
<p>As Mexican-American Tejano singer Selena comes of age and realizes her dreams, she and her family make tough choices to hold on to love and music.</p>
 
9
nan
 
8
<p>Each episode is a parody of a popular TV show or program.</p>
 
8
<p>Using cutting-edge cameras and a revolutionary editing process, <b>Earth at Night in Color</b> presents nature's previously unseen marvels with striking new clarity. Captured across six continents, from the Arctic Circle to the African grasslands, this pioneering work follows the moonlit lives of animals at night, revealing new insights and never-before-seen behaviors into some of our favorite species' nocturnal habits. The show will also introduce relatively unknown creatures who are sure to become new icons of the animal kingdom.</p>
 
6
Other values (54)
90 

Length

Max length1360
Median length705
Mean length329.9083969
Min length3

Characters and Unicode

Total characters43218
Distinct characters118
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)30.5%

Sample

1st row<p>A bold humorous show in which comedians fight for 50,000 rubles! Six comedians will take to the stage to "fry" each other. The top two will go to the final, and only one will take the money with them!</p>
2nd row<p><b>Plague</b> – a Comedy project about how hard it is to survive in the middle ages during the plague. This is a story about the residents of the fictional town of Hamburg, locked in a castle under quarantine. Also locked up in the castle is the Messenger William, who, in fact, brought the news of the plague.</p>
3rd row<p>Lytk-Angeles, the state of Moskvachussets, has always been a quiet town where every gang had its rightful place. The Colombians smoked plantain, the Irish sipped beer, and the Chinese ate noodles. But one day the evil Russian Communists came and brought sugar with them. They slaughtered all the street vendors of plantain, seized control of the production of matryoshka dolls (a traditional Yugoslav business) and got the whole city hooked on white powder.</p><p>This will be the last case for Eustace Lynch. Famous for his lucky tattoo, an Irish gangster comes to Lytk-Angeles from Dublin (also known as Dubna) to get rid of the Communists. At the same time, Sally Raptor, a police officer from palm beach (also known as Gelendzhik) arrives in the city with a similar task.</p><p>Zakon i Besporyadok is a parody of the films of the 80s and 90s that we watched on videotapes with one-voice voice-over as a child, and a tribute to that forever-gone era when the screen belonged entirely to evil Russians, Asian martial artists and drinking detectives in ridiculous hats. Each episode parodies one of your favorite genres: the characters don't change, but they end up in an Asian fighting game, a crime Thriller, or even a neo-noir story.</p>
4th row<p>Lytk-Angeles, the state of Moskvachussets, has always been a quiet town where every gang had its rightful place. The Colombians smoked plantain, the Irish sipped beer, and the Chinese ate noodles. But one day the evil Russian Communists came and brought sugar with them. They slaughtered all the street vendors of plantain, seized control of the production of matryoshka dolls (a traditional Yugoslav business) and got the whole city hooked on white powder.</p><p>This will be the last case for Eustace Lynch. Famous for his lucky tattoo, an Irish gangster comes to Lytk-Angeles from Dublin (also known as Dubna) to get rid of the Communists. At the same time, Sally Raptor, a police officer from palm beach (also known as Gelendzhik) arrives in the city with a similar task.</p><p>Zakon i Besporyadok is a parody of the films of the 80s and 90s that we watched on videotapes with one-voice voice-over as a child, and a tribute to that forever-gone era when the screen belonged entirely to evil Russians, Asian martial artists and drinking detectives in ridiculous hats. Each episode parodies one of your favorite genres: the characters don't change, but they end up in an Asian fighting game, a crime Thriller, or even a neo-noir story.</p>
5th rownan

Common Values

ValueCountFrequency (%)
<p>Teenage friends find their lives upended by the wonders and horrors of puberty in this edgy comedy from real-life pals Nick Kroll and Andrew Goldberg.</p>10
 
7.6%
<p>As Mexican-American Tejano singer Selena comes of age and realizes her dreams, she and her family make tough choices to hold on to love and music.</p>9
 
6.9%
nan8
 
6.1%
<p>Each episode is a parody of a popular TV show or program.</p>8
 
6.1%
<p>Using cutting-edge cameras and a revolutionary editing process, <b>Earth at Night in Color</b> presents nature's previously unseen marvels with striking new clarity. Captured across six continents, from the Arctic Circle to the African grasslands, this pioneering work follows the moonlit lives of animals at night, revealing new insights and never-before-seen behaviors into some of our favorite species' nocturnal habits. The show will also introduce relatively unknown creatures who are sure to become new icons of the animal kingdom.</p>6
 
4.6%
<p><b>Stillwater </b>centers on siblings Karl, Addy and Michael, who are typical kids with typical kid challenges – meaning that sometimes even the smallest things can feel insurmountable. Fortunately for these three, they have Stillwater, a wise panda, as their next-door neighbor.</p>6
 
4.6%
<p>Facing disapproving parents, a knotty love life and her own inner critic, an aspiring comic ditches her cushy but unsatisfying life to pursue stand-up.</p>6
 
4.6%
<p><b>El estado contra Pablo Ibar</b> is a detailed account of the court case of more than 25 years that led to Pablo Ibar being sentenced to death for a triple homicide in Miramar, Florida. The murders were the first in U.S. history to be fully recorded on a home security camera, making the case one of the most talked about in Florida history. Pablo Ibar's case was reopened in 2016, after the Florida Supreme Court ruled that there was a lack of evidence against him.</p>6
 
4.6%
<p>The Masire Brothers rule Johannesburg's criminal underworld, but a supernatural family curse and a tangled web of betrayal threaten to destroy them.</p>6
 
4.6%
<p>This is a story of four curious girls each of whose problems originates from family problems and lack of familial love. The only remedy for them is friendship that helps unwound their trauma. They leave all their troubles behind and create their own world upon which drugs grant them the way out, and along that path they are confronted with their fates together.There is just a drug to soothe the heart. Until the end, it became a huge problem that they had never expected from a small step that wanted to try to take it too far to go back. When they realized it again, they could only feel "regretting" the moment of them life. The bad thing And it's a big lesson at the price of your whole life.</p>4
 
3.1%
Other values (49)62
47.3%

Length

2022-05-09T21:02:04.985147image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
the356
 
5.0%
and276
 
3.9%
of232
 
3.2%
a229
 
3.2%
to179
 
2.5%
in133
 
1.9%
their74
 
1.0%
is72
 
1.0%
on64
 
0.9%
that60
 
0.8%
Other values (1556)5484
76.6%

Most occurring characters

ValueCountFrequency (%)
7022
16.2%
e4008
 
9.3%
a2677
 
6.2%
t2552
 
5.9%
o2532
 
5.9%
n2320
 
5.4%
i2293
 
5.3%
r2160
 
5.0%
s2094
 
4.8%
h1610
 
3.7%
Other values (108)13950
32.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter32935
76.2%
Space Separator7035
 
16.3%
Uppercase Letter1128
 
2.6%
Other Punctuation1112
 
2.6%
Math Symbol766
 
1.8%
Dash Punctuation117
 
0.3%
Decimal Number95
 
0.2%
Close Punctuation15
 
< 0.1%
Open Punctuation15
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e4008
12.2%
a2677
 
8.1%
t2552
 
7.7%
o2532
 
7.7%
n2320
 
7.0%
i2293
 
7.0%
r2160
 
6.6%
s2094
 
6.4%
h1610
 
4.9%
l1479
 
4.5%
Other values (48)9210
28.0%
Uppercase Letter
ValueCountFrequency (%)
T141
12.5%
A122
 
10.8%
S109
 
9.7%
M79
 
7.0%
I73
 
6.5%
C70
 
6.2%
F53
 
4.7%
L48
 
4.3%
W43
 
3.8%
E39
 
3.5%
Other values (21)351
31.1%
Other Punctuation
ValueCountFrequency (%)
,402
36.2%
.349
31.4%
/195
17.5%
'96
 
8.6%
"35
 
3.1%
!16
 
1.4%
?9
 
0.8%
:6
 
0.5%
3
 
0.3%
;1
 
0.1%
Decimal Number
ValueCountFrequency (%)
123
24.2%
215
15.8%
015
15.8%
98
 
8.4%
67
 
7.4%
57
 
7.4%
37
 
7.4%
75
 
5.3%
85
 
5.3%
43
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
-103
88.0%
7
 
6.0%
7
 
6.0%
Space Separator
ValueCountFrequency (%)
7022
99.8%
 13
 
0.2%
Math Symbol
ValueCountFrequency (%)
<383
50.0%
>383
50.0%
Close Punctuation
ValueCountFrequency (%)
)15
100.0%
Open Punctuation
ValueCountFrequency (%)
(15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin33675
77.9%
Common9155
 
21.2%
Cyrillic388
 
0.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e4008
11.9%
a2677
 
7.9%
t2552
 
7.6%
o2532
 
7.5%
n2320
 
6.9%
i2293
 
6.8%
r2160
 
6.4%
s2094
 
6.2%
h1610
 
4.8%
l1479
 
4.4%
Other values (45)9950
29.5%
Cyrillic
ValueCountFrequency (%)
е38
 
9.8%
и38
 
9.8%
т37
 
9.5%
о35
 
9.0%
с25
 
6.4%
н24
 
6.2%
а24
 
6.2%
м21
 
5.4%
в16
 
4.1%
р15
 
3.9%
Other values (24)115
29.6%
Common
ValueCountFrequency (%)
7022
76.7%
,402
 
4.4%
<383
 
4.2%
>383
 
4.2%
.349
 
3.8%
/195
 
2.1%
-103
 
1.1%
'96
 
1.0%
"35
 
0.4%
123
 
0.3%
Other values (19)164
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII42793
99.0%
Cyrillic388
 
0.9%
None20
 
< 0.1%
Punctuation17
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7022
16.4%
e4008
 
9.4%
a2677
 
6.3%
t2552
 
6.0%
o2532
 
5.9%
n2320
 
5.4%
i2293
 
5.4%
r2160
 
5.0%
s2094
 
4.9%
h1610
 
3.8%
Other values (67)13525
31.6%
Cyrillic
ValueCountFrequency (%)
е38
 
9.8%
и38
 
9.8%
т37
 
9.5%
о35
 
9.0%
с25
 
6.4%
н24
 
6.2%
а24
 
6.2%
м21
 
5.4%
в16
 
4.1%
р15
 
3.9%
Other values (24)115
29.6%
None
ValueCountFrequency (%)
 13
65.0%
Í3
 
15.0%
ä2
 
10.0%
ø2
 
10.0%
Punctuation
ValueCountFrequency (%)
7
41.2%
7
41.2%
3
17.6%

_embedded_show_updated
Real number (ℝ≥0)

HIGH CORRELATION

Distinct66
Distinct (%)50.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1629419020
Minimum1604587145
Maximum1652080636
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2022-05-09T21:02:05.185912image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1604587145
5-th percentile1607278887
Q11611394761
median1625305082
Q31647194020
95-th percentile1650549002
Maximum1652080636
Range47493491
Interquartile range (IQR)35799259

Descriptive statistics

Standard deviation16997911.56
Coefficient of variation (CV)0.01043188483
Kurtosis-1.669378912
Mean1629419020
Median Absolute Deviation (MAD)17158211
Skewness-0.03310544592
Sum2.134538916 × 1011
Variance2.889289974 × 1014
MonotonicityNot monotonic
2022-05-09T21:02:05.398337image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
165042009110
 
7.6%
16202605779
 
6.9%
16072788878
 
6.1%
16160734186
 
4.6%
16085889856
 
4.6%
16478498636
 
4.6%
16253050826
 
4.6%
16075748986
 
4.6%
16394906404
 
3.1%
16235338634
 
3.1%
Other values (56)66
50.4%
ValueCountFrequency (%)
16045871451
 
0.8%
16071040921
 
0.8%
16071805013
 
2.3%
16072788878
6.1%
16075748986
4.6%
16081468711
 
0.8%
16084019621
 
0.8%
16085889856
4.6%
16091813541
 
0.8%
16094684031
 
0.8%
ValueCountFrequency (%)
16520806361
 
0.8%
16519392261
 
0.8%
16519332091
 
0.8%
16512767871
 
0.8%
16512333871
 
0.8%
16509836761
 
0.8%
16505490022
 
1.5%
165042009110
7.6%
16503092011
 
0.8%
16495005301
 
0.8%

_links_self_href
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct131
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
https://api.tvmaze.com/episodes/1977902
 
1
https://api.tvmaze.com/episodes/2001669
 
1
https://api.tvmaze.com/episodes/2001667
 
1
https://api.tvmaze.com/episodes/2001666
 
1
https://api.tvmaze.com/episodes/2001665
 
1
Other values (126)
126 

Length

Max length39
Median length39
Mean length39
Min length39

Characters and Unicode

Total characters5109
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique131 ?
Unique (%)100.0%

Sample

1st rowhttps://api.tvmaze.com/episodes/1977902
2nd rowhttps://api.tvmaze.com/episodes/2015818
3rd rowhttps://api.tvmaze.com/episodes/1964000
4th rowhttps://api.tvmaze.com/episodes/1995405
5th rowhttps://api.tvmaze.com/episodes/2007760

Common Values

ValueCountFrequency (%)
https://api.tvmaze.com/episodes/19779021
 
0.8%
https://api.tvmaze.com/episodes/20016691
 
0.8%
https://api.tvmaze.com/episodes/20016671
 
0.8%
https://api.tvmaze.com/episodes/20016661
 
0.8%
https://api.tvmaze.com/episodes/20016651
 
0.8%
https://api.tvmaze.com/episodes/20000731
 
0.8%
https://api.tvmaze.com/episodes/20000721
 
0.8%
https://api.tvmaze.com/episodes/19975381
 
0.8%
https://api.tvmaze.com/episodes/19975371
 
0.8%
https://api.tvmaze.com/episodes/19884051
 
0.8%
Other values (121)121
92.4%

Length

2022-05-09T21:02:05.640159image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://api.tvmaze.com/episodes/19779021
 
0.8%
https://api.tvmaze.com/episodes/23122251
 
0.8%
https://api.tvmaze.com/episodes/19640001
 
0.8%
https://api.tvmaze.com/episodes/19954051
 
0.8%
https://api.tvmaze.com/episodes/20077601
 
0.8%
https://api.tvmaze.com/episodes/19857891
 
0.8%
https://api.tvmaze.com/episodes/20396221
 
0.8%
https://api.tvmaze.com/episodes/20396231
 
0.8%
https://api.tvmaze.com/episodes/23244271
 
0.8%
https://api.tvmaze.com/episodes/23244281
 
0.8%
Other values (121)121
92.4%

Most occurring characters

ValueCountFrequency (%)
/524
 
10.3%
p393
 
7.7%
s393
 
7.7%
e393
 
7.7%
t393
 
7.7%
o262
 
5.1%
a262
 
5.1%
i262
 
5.1%
.262
 
5.1%
m262
 
5.1%
Other values (16)1703
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter3275
64.1%
Other Punctuation917
 
17.9%
Decimal Number917
 
17.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
p393
12.0%
s393
12.0%
e393
12.0%
t393
12.0%
o262
8.0%
a262
8.0%
i262
8.0%
m262
8.0%
h131
 
4.0%
d131
 
4.0%
Other values (3)393
12.0%
Decimal Number
ValueCountFrequency (%)
2142
15.5%
9141
15.4%
0124
13.5%
1111
12.1%
378
8.5%
674
8.1%
871
7.7%
461
6.7%
760
6.5%
555
 
6.0%
Other Punctuation
ValueCountFrequency (%)
/524
57.1%
.262
28.6%
:131
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin3275
64.1%
Common1834
35.9%

Most frequent character per script

Common
ValueCountFrequency (%)
/524
28.6%
.262
14.3%
2142
 
7.7%
9141
 
7.7%
:131
 
7.1%
0124
 
6.8%
1111
 
6.1%
378
 
4.3%
674
 
4.0%
871
 
3.9%
Other values (3)176
 
9.6%
Latin
ValueCountFrequency (%)
p393
12.0%
s393
12.0%
e393
12.0%
t393
12.0%
o262
8.0%
a262
8.0%
i262
8.0%
m262
8.0%
h131
 
4.0%
d131
 
4.0%
Other values (3)393
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII5109
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/524
 
10.3%
p393
 
7.7%
s393
 
7.7%
e393
 
7.7%
t393
 
7.7%
o262
 
5.1%
a262
 
5.1%
i262
 
5.1%
.262
 
5.1%
m262
 
5.1%
Other values (16)1703
33.3%

Interactions

2022-05-09T21:01:42.848433image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:14.469026image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:20.799239image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:23.207817image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:25.465148image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:27.801191image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:33.759778image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:36.037646image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:38.686757image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:45.091268image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:16.111222image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:21.874458image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:24.275420image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:26.647062image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:29.049878image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:34.877155image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:37.248317image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:40.219474image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:45.264550image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:16.676894image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:21.980879image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:24.378941image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:26.744862image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:29.341091image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:35.033225image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:37.372818image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:40.387352image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:45.469590image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:17.245777image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:22.077830image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:24.471714image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:26.833666image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:29.604815image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:35.159700image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:37.487895image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:40.639386image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:45.723745image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:17.813604image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:22.288016image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:24.563929image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:26.929500image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:29.889685image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:35.271143image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:37.618433image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:40.933384image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:46.866832image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:18.922037image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:22.820891image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:25.074759image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:27.421699image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:30.886425image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:35.517241image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:38.158144image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:42.144586image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:47.310954image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:19.232552image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:22.918457image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:25.188922image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:27.516174image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:31.627620image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:35.650294image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:38.257164image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:42.325599image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:47.672158image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:19.746075image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:23.014841image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:25.283109image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:27.617301image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:32.690932image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:35.782842image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:38.432962image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:42.461072image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:47.985615image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:20.275692image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:23.109080image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:25.373286image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:27.712055image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:33.251182image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:35.900666image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:38.555694image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:01:42.645172image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Correlations

2022-05-09T21:02:05.772899image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-05-09T21:02:06.035598image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-05-09T21:02:06.232863image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-05-09T21:02:06.404422image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.
2022-05-09T21:02:06.708034image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2022-05-09T21:01:48.558028image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
A simple visualization of nullity by column.
2022-05-09T21:01:51.425085image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2022-05-09T21:01:52.236519image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
2022-05-09T21:01:52.743746image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

idurlnameseasonnumbertypeairdateairtimeairstampruntimeimagesummary_embedded_show_id_embedded_show_url_embedded_show_name_embedded_show_type_embedded_show_language_embedded_show_genres_embedded_show_status_embedded_show_runtime_embedded_show_averageRuntime_embedded_show_premiered_embedded_show_ended_embedded_show_officialSite_embedded_show_weight_embedded_show_dvdCountry_embedded_show_summary_embedded_show_updated_links_self_href
01984016https://www.tvmaze.com/episodes/1984016/roast-battle-labelcom-1x14-14-anton-sastun#14 - Антон Шастун1.014.0regular2020-12-04nan2020-12-04T00:00:00+00:0049.0Nonenan48288https://www.tvmaze.com/shows/48288/roast-battle-labelcomRoast Battle LabelcomGame ShowRussian['Comedy']Running50.054.02019-12-24nanhttps://www.youtube.com/playlist?list=PLmkbS48df311cZnmhlV-5q5vY0icLXdl323.0nan<p>A bold humorous show in which comedians fight for 50,000 rubles! Six comedians will take to the stage to "fry" each other. The top two will go to the final, and only one will take the money with them!</p>1.645055e+09https://api.tvmaze.com/episodes/1977902
11961003https://www.tvmaze.com/episodes/1961003/cuma-2x06-seria-12Серия 122.06.0regular2020-12-04nan2020-12-04T00:00:00+00:0021.0Nonenan48402https://www.tvmaze.com/shows/48402/cumaЧума!ScriptedRussian['Comedy']Ended21.021.02020-05-292020-12-18https://www.ivi.ru/watch/chuma-202030.0nan<p><b>Plague</b> – a Comedy project about how hard it is to survive in the middle ages during the plague. This is a story about the residents of the fictional town of Hamburg, locked in a castle under quarantine. Also locked up in the castle is the Messenger William, who, in fact, brought the news of the plague.</p>1.609468e+09https://api.tvmaze.com/episodes/2015818
21976570https://www.tvmaze.com/episodes/1976570/zakon-i-besporyadok-1x03-seria-3Серия 31.03.0regular2020-12-0412:002020-12-04T00:00:00+00:0030.0Nonenan52118https://www.tvmaze.com/shows/52118/zakon-i-besporyadokZakon i BesporyadokScriptedRussian['Comedy', 'Action', 'Crime']Ended30.030.02020-11-272020-12-11https://www.ivi.ru/watch/zakon-i-besporyadok3.0nan<p>Lytk-Angeles, the state of Moskvachussets, has always been a quiet town where every gang had its rightful place. The Colombians smoked plantain, the Irish sipped beer, and the Chinese ate noodles. But one day the evil Russian Communists came and brought sugar with them. They slaughtered all the street vendors of plantain, seized control of the production of matryoshka dolls (a traditional Yugoslav business) and got the whole city hooked on white powder.</p><p>This will be the last case for Eustace Lynch. Famous for his lucky tattoo, an Irish gangster comes to Lytk-Angeles from Dublin (also known as Dubna) to get rid of the Communists. At the same time, Sally Raptor, a police officer from palm beach (also known as Gelendzhik) arrives in the city with a similar task.</p><p>Zakon i Besporyadok is a parody of the films of the 80s and 90s that we watched on videotapes with one-voice voice-over as a child, and a tribute to that forever-gone era when the screen belonged entirely to evil Russians, Asian martial artists and drinking detectives in ridiculous hats. Each episode parodies one of your favorite genres: the characters don't change, but they end up in an Asian fighting game, a crime Thriller, or even a neo-noir story.</p>1.616038e+09https://api.tvmaze.com/episodes/1964000
31976571https://www.tvmaze.com/episodes/1976571/zakon-i-besporyadok-1x04-seria-4Серия 41.04.0regular2020-12-0412:002020-12-04T00:00:00+00:0030.0Nonenan52118https://www.tvmaze.com/shows/52118/zakon-i-besporyadokZakon i BesporyadokScriptedRussian['Comedy', 'Action', 'Crime']Ended30.030.02020-11-272020-12-11https://www.ivi.ru/watch/zakon-i-besporyadok3.0nan<p>Lytk-Angeles, the state of Moskvachussets, has always been a quiet town where every gang had its rightful place. The Colombians smoked plantain, the Irish sipped beer, and the Chinese ate noodles. But one day the evil Russian Communists came and brought sugar with them. They slaughtered all the street vendors of plantain, seized control of the production of matryoshka dolls (a traditional Yugoslav business) and got the whole city hooked on white powder.</p><p>This will be the last case for Eustace Lynch. Famous for his lucky tattoo, an Irish gangster comes to Lytk-Angeles from Dublin (also known as Dubna) to get rid of the Communists. At the same time, Sally Raptor, a police officer from palm beach (also known as Gelendzhik) arrives in the city with a similar task.</p><p>Zakon i Besporyadok is a parody of the films of the 80s and 90s that we watched on videotapes with one-voice voice-over as a child, and a tribute to that forever-gone era when the screen belonged entirely to evil Russians, Asian martial artists and drinking detectives in ridiculous hats. Each episode parodies one of your favorite genres: the characters don't change, but they end up in an Asian fighting game, a crime Thriller, or even a neo-noir story.</p>1.616038e+09https://api.tvmaze.com/episodes/1995405
41979225https://www.tvmaze.com/episodes/1979225/kotiki-1x05-seria-5Серия 51.05.0regular2020-12-04nan2020-12-04T00:00:00+00:0012.0Nonenan52198https://www.tvmaze.com/shows/52198/kotikiКотикиScriptedRussian['Comedy']Ended12.012.02020-11-302020-12-11http://epic-media.ru/project/kotiki15.0nannan1.637555e+09https://api.tvmaze.com/episodes/2007760
51972557https://www.tvmaze.com/episodes/1972557/the-wolf-1x15-episode-15Episode 151.015.0regular2020-12-04nan2020-12-04T04:00:00+00:0045.0Nonenan47912https://www.tvmaze.com/shows/47912/the-wolfThe WolfScriptedChinese['Drama', 'Romance', 'History']Ended45.045.02020-11-192021-01-04https://www.iqiyi.com/lib/m_213579814.html39.0nan<p>The story happens at the end of the Tang Dynasty, when Zhu Wen usurps the throne and establishes the Later Liang Dynasty, and he's known as Emperor Taizu. Ma Zhai Xing (Li Qin) is the daughter of an official and as a child, she befriends a young boy (Darren Wang) who lives in the mountain. One day when he saves a wolf, he accidentally falls over the cliff and is rescued by Zhu Wen. The authoritative figure adopts him as a godson and gives him the title Bo Wang. Ten years later, he saves the female lead per chance and finds her courage and intelligence resonant, and she likes that while he's in a position of power, he still has humility and kindness. She encourages him to fight for justice and he begins that journey by helping the people, stopping throne fights, etc. Even when they have conflicts, they will face those frankly. As they overcome obstacles and fight for justice, feelings deepen and they are able to reap their own happiness by each other's side.</p>1.648217e+09https://api.tvmaze.com/episodes/1985789
61972558https://www.tvmaze.com/episodes/1972558/the-wolf-1x16-episode-16Episode 161.016.0regular2020-12-04nan2020-12-04T04:00:00+00:0045.0Nonenan47912https://www.tvmaze.com/shows/47912/the-wolfThe WolfScriptedChinese['Drama', 'Romance', 'History']Ended45.045.02020-11-192021-01-04https://www.iqiyi.com/lib/m_213579814.html39.0nan<p>The story happens at the end of the Tang Dynasty, when Zhu Wen usurps the throne and establishes the Later Liang Dynasty, and he's known as Emperor Taizu. Ma Zhai Xing (Li Qin) is the daughter of an official and as a child, she befriends a young boy (Darren Wang) who lives in the mountain. One day when he saves a wolf, he accidentally falls over the cliff and is rescued by Zhu Wen. The authoritative figure adopts him as a godson and gives him the title Bo Wang. Ten years later, he saves the female lead per chance and finds her courage and intelligence resonant, and she likes that while he's in a position of power, he still has humility and kindness. She encourages him to fight for justice and he begins that journey by helping the people, stopping throne fights, etc. Even when they have conflicts, they will face those frankly. As they overcome obstacles and fight for justice, feelings deepen and they are able to reap their own happiness by each other's side.</p>1.648217e+09https://api.tvmaze.com/episodes/2039622
71910446https://www.tvmaze.com/episodes/1910446/the-founder-of-diabolism-q-1x20-drunkennessDrunkenness1.020.0regular2020-12-04nan2020-12-04T04:00:00+00:005.0Nonenan49485https://www.tvmaze.com/shows/49485/the-founder-of-diabolism-qThe Founder of Diabolism QAnimationChinese['Comedy', 'Anime', 'History', 'Supernatural']Ended5.05.02020-07-312021-02-12https://v.qq.com/detail/m/mzc00200fdthd81.html60.0nan<p>The chibi spin-off takes place during the three periods of Wei Wuxian's life (adolescence, adulthood, and rebirth after death), selecting the cute, warm, and healing parts as the main contents. This series hopes to heal the audience who loves the main story of <i>Mo Dao Zu Shi</i>, but were "injured" by the melancholy plot of the drama.</p>1.621019e+09https://api.tvmaze.com/episodes/2039623
82082172https://www.tvmaze.com/episodes/2082172/ling-jian-zun-4x29-di129ji第129集4.029.0regular2020-12-04nan2020-12-04T04:00:00+00:0010.0Nonenan55016https://www.tvmaze.com/shows/55016/ling-jian-zunLing Jian ZunAnimationChinese['Anime']Running10.010.02019-01-15nanhttps://v.qq.com/x/cover/2w2legt0g8z26al.html45.0nan<p>The strong man was attacked and returned to his youth. He became the weakest waste young lord. He will never let go of the enemy of the previous life in this life and must make up the regret of the previous life in this life! By the time the Spirit Sword is powerful, the protagonist will be supreme in the three worlds between heaven and earth! If there is someone doesn't obey him, he will kill him with the sword!</p><p><br /> </p>1.640703e+09https://api.tvmaze.com/episodes/2324427
92080222https://www.tvmaze.com/episodes/2080222/supreme-god-emperor-1x60-episode-60Episode 601.060.0regular2020-12-04nan2020-12-04T04:00:00+00:0010.0Nonenan55019https://www.tvmaze.com/shows/55019/supreme-god-emperorSupreme God EmperorAnimationChinese['Anime']Running10.010.02020-05-18nanhttps://v.qq.com/detail/m/mzc00200ilydv1a.html63.0nan<p>Ten thousand years ago, Muyun's fairy King was secretly accounted for by holding a Zhuxian figure, and after a long sleep, he awakened in the famous "Muyun waste" of the southern Yun Empire in the Land of Heaven. When Muyun first woke up, he was deliberately bothered by the student Miaoxianyu. Muyun easily completed the Miaoxianyu trap, and he gave more and more alchemy skills by analogy, so the Alchemy masters outside the door could not ask for appreciation. Endless back home, Mu Yun learns that he is about to marry Nona Qin Qin Mengyao. Qin Mengyao was cold and toxic, but could not live until he was 20 years old. The marriage was only for the sake of pastoralists and family of Qin. However, under Mu Linchen's enticement, Mu Yun approves the family's issue on the condition of alchemy.</p><p><br /> </p>1.642202e+09https://api.tvmaze.com/episodes/2324428

Last rows

idurlnameseasonnumbertypeairdateairtimeairstampruntimeimagesummary_embedded_show_id_embedded_show_url_embedded_show_name_embedded_show_type_embedded_show_language_embedded_show_genres_embedded_show_status_embedded_show_runtime_embedded_show_averageRuntime_embedded_show_premiered_embedded_show_ended_embedded_show_officialSite_embedded_show_weight_embedded_show_dvdCountry_embedded_show_summary_embedded_show_updated_links_self_href
1211979238https://www.tvmaze.com/episodes/1979238/bhaag-beanie-bhaag-1x05-episode-5Episode 51.05.0regular2020-12-04nan2020-12-04T12:00:00+00:0029.0{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/286/716281.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/286/716281.jpg'}<p>Reeling from recent quarrels, Beanie agrees to perform at a wedding, where she runs into some unexpected guests and gets unabashedly real on stage.</p><p><br /> </p>52124https://www.tvmaze.com/shows/52124/bhaag-beanie-bhaagBhaag Beanie BhaagScriptedHindi['Comedy', 'Romance']To Be DeterminedNaN29.02020-12-04nanhttps://www.netflix.com/title/8101805736.0nan<p>Facing disapproving parents, a knotty love life and her own inner critic, an aspiring comic ditches her cushy but unsatisfying life to pursue stand-up.</p>1.608589e+09https://api.tvmaze.com/episodes/2234297
1221979239https://www.tvmaze.com/episodes/1979239/bhaag-beanie-bhaag-1x06-episode-6Episode 61.06.0regular2020-12-04nan2020-12-04T12:00:00+00:0026.0{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/286/716282.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/286/716282.jpg'}<p>Ahead of an exciting opportunity, Beanie considers making peace with her parents, acting on resurfaced feelings and staying true to her dreams.</p>52124https://www.tvmaze.com/shows/52124/bhaag-beanie-bhaagBhaag Beanie BhaagScriptedHindi['Comedy', 'Romance']To Be DeterminedNaN29.02020-12-04nanhttps://www.netflix.com/title/8101805736.0nan<p>Facing disapproving parents, a knotty love life and her own inner critic, an aspiring comic ditches her cushy but unsatisfying life to pursue stand-up.</p>1.608589e+09https://api.tvmaze.com/episodes/2236494
1231977868https://www.tvmaze.com/episodes/1977868/a-generala-1x03-episodio-3Episódio 31.03.0regular2020-12-0412:002020-12-04T12:00:00+00:0060.0{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/287/717840.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/287/717840.jpg'}nan52165https://www.tvmaze.com/shows/52165/a-generalaA GeneralaScriptedPortuguese['Drama', 'Action', 'History']Ended60.060.02020-11-242020-12-25https://sic.pt/Programas/a-generala18.0nan<p>A girl from the islands simulates suicide after a heartbreak. Decided to be reborn elsewhere, she pretends to be a respected general. The unsuspected charge is the perfect way to commit scams. But can you fool everyone ... forever?</p>1.609181e+09https://api.tvmaze.com/episodes/1977423
1241978797https://www.tvmaze.com/episodes/1978797/your-home-1x01-yourhomemud#YourHomeMud1.01.0regular2020-12-04nan2020-12-04T12:00:00+00:0020.0{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/286/716491.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/286/716491.jpg'}<p>Boys from different worlds, one connection that will be intertwined by fate. The question remains, are they in the right world?</p>52196https://www.tvmaze.com/shows/52196/your-homeYour HomeScriptedTagalog['Drama', 'Romance']Ended30.023.02020-12-042021-01-22https://www.youtube.com/c/ArcanaStudiosInc/30.0nan<p>Imagine a world where boys' love is normal. You don't have to prove yourself more just because you're gay or different. No judgy stares and harsh whispers from strangers or even from family. Our story is about the coming of age of two boys that are feeling alone and their adventures to find a place they can call home. Welcome to our world. Welcome to Your Home.</p>1.649367e+09https://api.tvmaze.com/episodes/1976649
1251984024https://www.tvmaze.com/episodes/1984024/better-days-1x06-episode-6Episode 61.06.0regular2020-12-04nan2020-12-04T12:00:00+00:0020.0None<p>The restaurant's business plan is almost done. However, just when they thought that everything is going as planned, there comes a new challenge that might stop them from officially re-opening their business. Will they choose to stay and make their dreams come true together or leave and just go on with their dreams apart? </p>52348https://www.tvmaze.com/shows/52348/better-daysBetter DaysScriptedTagalog['Drama', 'Romance']Ended20.019.02020-10-302020-12-04https://www.youtube.com/c/UnframedFilm/37.0nan<p><b>Better Days</b> tells the story of two childhood friends who use their talents as a vlogger and chef to revive the restaurant their parents built.</p>1.608147e+09https://api.tvmaze.com/episodes/2005096
1261985305https://www.tvmaze.com/episodes/1985305/daughters-1x01-episode-1Episode 11.01.0regular2020-12-0420:002020-12-04T12:00:00+00:0050.0Nonenan52415https://www.tvmaze.com/shows/52415/daughtersDaughtersScriptedThai['Drama', 'Crime', 'Family']Running50.050.02020-12-04nanhttps://www.iq.com/play/1n40eysnffc15.0nan<p>This is a story of four curious girls each of whose problems originates from family problems and lack of familial love. The only remedy for them is friendship that helps unwound their trauma. They leave all their troubles behind and create their own world upon which drugs grant them the way out, and along that path they are confronted with their fates together.There is just a drug to soothe the heart. Until the end, it became a huge problem that they had never expected from a small step that wanted to try to take it too far to go back. When they realized it again, they could only feel "regretting" the moment of them life. The bad thing And it's a big lesson at the price of your whole life.</p>1.623534e+09https://api.tvmaze.com/episodes/2005098
1271985306https://www.tvmaze.com/episodes/1985306/daughters-1x02-episode-2Episode 21.02.0regular2020-12-0420:002020-12-04T12:00:00+00:0050.0Nonenan52415https://www.tvmaze.com/shows/52415/daughtersDaughtersScriptedThai['Drama', 'Crime', 'Family']Running50.050.02020-12-04nanhttps://www.iq.com/play/1n40eysnffc15.0nan<p>This is a story of four curious girls each of whose problems originates from family problems and lack of familial love. The only remedy for them is friendship that helps unwound their trauma. They leave all their troubles behind and create their own world upon which drugs grant them the way out, and along that path they are confronted with their fates together.There is just a drug to soothe the heart. Until the end, it became a huge problem that they had never expected from a small step that wanted to try to take it too far to go back. When they realized it again, they could only feel "regretting" the moment of them life. The bad thing And it's a big lesson at the price of your whole life.</p>1.623534e+09https://api.tvmaze.com/episodes/2005099
1281985307https://www.tvmaze.com/episodes/1985307/daughters-1x03-episode-3Episode 31.03.0regular2020-12-0420:002020-12-04T12:00:00+00:0050.0Nonenan52415https://www.tvmaze.com/shows/52415/daughtersDaughtersScriptedThai['Drama', 'Crime', 'Family']Running50.050.02020-12-04nanhttps://www.iq.com/play/1n40eysnffc15.0nan<p>This is a story of four curious girls each of whose problems originates from family problems and lack of familial love. The only remedy for them is friendship that helps unwound their trauma. They leave all their troubles behind and create their own world upon which drugs grant them the way out, and along that path they are confronted with their fates together.There is just a drug to soothe the heart. Until the end, it became a huge problem that they had never expected from a small step that wanted to try to take it too far to go back. When they realized it again, they could only feel "regretting" the moment of them life. The bad thing And it's a big lesson at the price of your whole life.</p>1.623534e+09https://api.tvmaze.com/episodes/2005100
1291985308https://www.tvmaze.com/episodes/1985308/daughters-1x04-episode-4Episode 41.04.0regular2020-12-0420:002020-12-04T12:00:00+00:0050.0Nonenan52415https://www.tvmaze.com/shows/52415/daughtersDaughtersScriptedThai['Drama', 'Crime', 'Family']Running50.050.02020-12-04nanhttps://www.iq.com/play/1n40eysnffc15.0nan<p>This is a story of four curious girls each of whose problems originates from family problems and lack of familial love. The only remedy for them is friendship that helps unwound their trauma. They leave all their troubles behind and create their own world upon which drugs grant them the way out, and along that path they are confronted with their fates together.There is just a drug to soothe the heart. Until the end, it became a huge problem that they had never expected from a small step that wanted to try to take it too far to go back. When they realized it again, they could only feel "regretting" the moment of them life. The bad thing And it's a big lesson at the price of your whole life.</p>1.623534e+09https://api.tvmaze.com/episodes/2005101
1301985331https://www.tvmaze.com/episodes/1985331/the-leaked-1x01-chapter-1-do-you-know-how-to-masturbateChapter 1: Do You Know How to Masturbate?1.01.0regular2020-12-04nan2020-12-04T12:00:00+00:0019.0{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/721812.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/721812.jpg'}<p>When Tor's handsome face became the cause of Lin Lin's disaster, showing her masturbation in front of the whole world!</p><p>Introducing the first chapter of the series of short films; those would reveal the dark side of social media, the ugliest truths, those might be closer to you than you've ever imagined.</p>52416https://www.tvmaze.com/shows/52416/the-leakedThe LeakedScriptedThai['Drama', 'Thriller', 'Mystery']Running20.018.02020-12-04nanhttps://www.youtube.com/playlist?list=PLt-9rFgCsz-4daDJprComAJaUkwZH15X975.0nan<p>When the iron law of "secret" is broken... When "your" body becomes your... "public" Prepare to expose the dark side of the social world together in<b> The Leaked</b>. December 4... The first chapter begins, "Are you helping yourself?</p>1.646596e+09https://api.tvmaze.com/episodes/2005102